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ai/ml engineer

automation engineer

ai ml engineer

Capgemini

<div><div><div><p>Atlanta, Bridgewater, New York</p><div>
AI/ML Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Location: NJ/ NY/ Atlanta, GA</div></div></div><div></div><div><div><div>
Required Skills</div></div><div><p>
Hands-on experience with ML Model Development and Deployment using Python<br>
Hand on experience in TensorFlow or Pytorch<br>
Experience in Analyzing complex, high-volume, high-dimensionality data for building Data pipeline<br>
REST API Integration for ML Models<br>
Hands on Experience with Data Preprocessing(Pandas, Numfy, etc)<br>
Understanding of ML Algorithms.</p></div></div><div><div><div>
Preferred Skills</div></div><div><p>
Experience with NLP/Deep Learning Experience is plus<br>
Exposure with Transformers, LLM's<br>
Cloud ML Platforms(Azure AI, AWS Sage Maker)<br>
Experience with SQL /No SQL DB.</p></div></div><div><div><div>
Life at Capgemini</div></div><div><p>
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:<br>
Flexible work<br>
Healthcare including dental, vision, mental health, and well-being programs<br>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan<br>
Paid time off and paid holidays<br>
Paid parental leave<br>
Family building benefits like adoption assistance, surrogacy, and cryopreservation<br>
Social well-being benefits like subsidized back-up child/elder care and tutoring<br>
Mentoring, coaching and learning programs<br>
Employee Resource Groups nd Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.<br>
Capgemini is committed to providing reasonable accommodations<br>
Disaster Relief</p></div></div></div><p>
The base compensation range for this role in the posted location is: 80420 to 106050</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
380740-en_US</div></div><div><div>
Posted on</div><div>
12 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta, Bridgewater, New York</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

AI/ML Engineer

Dolby

<div><div><div><div><div><div><b>Job description</b></div></div><div></div><div><div><b>
Company and benefits</b></div></div><div><div><b>
Social Impact &amp; Sustainability</b></div></div></div></div></div><div><div><div><div><div>
Job ID</div><div><b>
41437</b></div></div></div><p></p><div><div><p><br>
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you&rsquo;ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We&rsquo;re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a <b>Flex Work </b>approach that is truly flexible to support where, when, and how you do your best work.</p><p></p><p><br>
The <b>Dolby Cloud Solutions</b> organization builds technologies and innovations that easily integrate into service providers&rsquo; infrastructure to make content experiences more effective, meaningful, and engaging for consumers.</p><p></p><p><b><br>
Role Overview</b></p><p></p><p><br>
We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key technical bridge between research teams and product engineering organizations. In this role, you will help translate advanced machine learning research into efficient, scalable, and production ready solutions across Dolby&rsquo;s product portfolio.</p><p></p><p><br>
You will play a critical role in defining technical strategy for developing, training, and deploying AI/ML models&mdash;particularly in edge ML and NPU enabled platforms&mdash;while collaborating closely with researchers, software engineers, and external partners such as silicon vendors. This highly cross functional role combines hands on technical expertise with system level thinking and technical leadership, influencing direction across projects and teams through execution and clear technical communication.</p><p></p><p><b><br>
Key Responsibilities</b></p><p></p><p><b><br>
Technical Strategy and Leadership</b></p><br>
<p></p><ul><li>
Define and guide AI/ML technology strategy across Dolby&rsquo;s core technology areas (audio processing, video processing, personalization, and related domains), spanning cloud, edge, and embedded environments, with a focus on edge ML, GPUs, and NPUs</li><li>
Anticipate evolving business and technical needs and contribute to a forward looking technical vision</li><li>
Establish best practices, guardrails, and technical guidelines for building, training, optimizing, and deploying ML models across the organization</li><li>
Stay current with developments in AI/ML, including emerging architectures and edge inference techniques, and translate industry trends into practical, production oriented recommendations for accelerated hardware</li></ul><p></p><p><b><br>
Bridge Research and Engineering</b></p><br>
<p></p><ul><li>
Serve as a primary technical interface between ML research teams and engineering teams</li><li>
Define architectural approaches for integrating traditional audio/video processing (DSPs, hardware accelerators) with ML models</li><li>
Partner with platform managers and engineering teams to integrate ML models into shipped products, and collaborate with researchers to align on requirements and constraints</li><li>
Work with Data Engineering teams to help establish data governance guidelines and standards for data sourcing, cleaning, and pipeline management</li><li>
Collaborate with QA teams to develop testing methodologies appropriate for AI/ML systems</li></ul><p></p><p><b><br>
Engage with Silicon Vendors</b></p><br>
<p></p><ul><li>
Develop a working understanding of GPU and NPU architectures, toolchains, operator support, and performance characteristics</li><li>
Identify gaps between model requirements and hardware capabilities, and help drive solutions in collaboration with internal teams and external partners</li><li>
Collaborate with and influence silicon vendors and platform partners on roadmap alignment, tooling, and hardware capabilities relevant to Dolby use cases</li></ul><p></p><p><b><br>
Hands On Technical Work</b></p><br>
<p></p><ul><li>
Conduct technical investigations and experiments, including profiling models, benchmarking inference, and evaluating accuracy latency trade offs</li><li>
Apply and advise on model optimization techniques such as retraining, pruning, quantization, distillation, and hardware aware optimization</li>
Guide model porting across frameworks and runtimes (e.g., PyTorch ONNX<li> vendor specific runtimes)</li><li>
Build prototypes and proof of concepts to reduce technical risk prior to full engineering investment</li></ul><p></p><p><b><br>
Qualifications</b></p><p></p><p><b><br>
Required</b></p><br>
<p></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering, Computer Science, or a related field, or equivalent practical experience</li><li>
Significant hands on experience in AI, machine learning, and embedded software engineering (often acquired over many years of professional practice)</li><li>
Strong software engineering skills, including experience writing production quality code and working with version control, testing, build systems, and software delivery pipelines</li><li>
Experience with at least one major AI/ML framework (e.g., PyTorch, TensorFlow, JAX, ONNX) and the ability to learn additional frameworks as needed</li><li>
Hands on experience deploying optimized ML models (e.g., quantization, pruning, distillation, operator fusion)</li><li>
Experience with edge or on device ML, including awareness of constraints such as latency, power, memory, and thermal limits</li><li>
Familiarity with CPU, GPU, NPU, and DSP architectures and their associated toolchains (e.g., Qualcomm Hexagon/QNN, MediaTek APU/NeuroPilot, ARM Ethos, Apple Neural Engine)</li><li>
Experience in audio, video, signal processing, media codecs, or closely related technical domains</li></ul><p></p><p><b><br>
Strongly Preferred</b></p><br>
<p></p><ul><li>
Ability to work across abstraction layers, from model architecture to operator level hardware performance</li><li>
Experience defining technical strategy and influencing cross functional teams through expertise and collaboration</li><li>
Demonstrated experience shipping ML models to production on resource constrained devices (e.g., mobile, embedded, automotive, wearables)</li></ul><p></p><p><b><br>
Nice to Have</b></p><br>
<p></p><ul><li>
Experience with real time audio/video inference pipelines (e.g., streaming inference, causal models, latency sensitive processing)</li><li>
Familiarity with Dolby technologies (such as Atmos, Vision, or AC 4) or comparable media standards</li><li>
Experience with generative AI models in the audio or video domain</li><li>
Contributions to open source ML tools or peer reviewed research</li></ul><p></p><p><b><br>
What This Role Is Not</b></p><br>
<p></p><ul><li>
This is not a pure research role; the focus is on translating research into production ready solutions</li><li>
This is not an MLOps, LLM only, or infrastructure focused role</li><li>
This role does not center on integrating third party APIs; the work involves developing proprietary models</li><li>
This is not a people management role, though the position involves technical leadership and influence</li></ul><p></p><p><br>
The Atlanta Area base salary range for this full-time position is $152,000 - $209,000, which can vary if outside this location,<b> </b>plus bonus, benefits, and some roles may also include equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.</p><p></p><p><i><br>
Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12</i></p><p></p><p><b><br>
Equal Employment Opportunity:</b><br>
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.</p></div></div></div></div></div>

AI Architect

The Home Depot

<div><b>Position Purpose:</b><p>
The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.<br>
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.<br>
ML Engineers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices.</p><b><br>
Key Responsibilities:</b><ul><li>
65% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><br>
<b>
Physical Requirements:</b><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
1 - 3 years of relevant work experience</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Familiarity with basic statistics and regression algorithms</li><li>
Familiarity with advanced statistics such as bayesian statistics</li><li>
Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Familiarity with a Linux or Unix based environment</li><li>
Familiarity with a CI/CD toolchain</li><li>
Familiarity with REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li></ul><br>
<b>
Minimum Education:</b><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
1</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Machine Learning Engineer II (Remote)

<div><p><b>Position Purpose:</b></p><p>
The Staff Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Staff ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.</p><p><br>
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.</p><p><br>
Staff ML Engineers will be a core player on the product team and are expected to build and grow skillsets of more junior engineers. You will also be able to drive multiple ML initiatives by directing algorithm and technology product design</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
3 - 6 years of relevant work experience</li><li>
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Experience in NoSQL databases</li><li>
Experience in cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Experience in defensive coding practices and patterns for high Availability</li><li>
Experience in A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div><p></p>

Staff Machine Learning Engineer (Remote)

<div><p><b>Position Purpose:</b></p><p>
The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Sr ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.</p><p><br>
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.</p><p><br>
Sr ML Engineers should be able to operate independently though will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
2 - 4 years of relevant work experience</li><li>
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with NoSQL databases</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
2</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div><p></p>

Senior Machine Learning Engineer (Remote)

Pratt Industries

<div><p><b>Job Title:</b> Automation Engineer</p>
<p>
</p><p><b>SUMMARY</b><b>-
</b></p><p>We are seeking a highly skilled and motivated AI/Automation Engineer/Systems Integrator to join our innovative team. The ideal candidate will have a strong background in integrating advanced AI technologies into manufacturing processes, with a focus on enhancing efficiency, productivity, and quality. This role requires a hands-on professional with a deep understanding of AI, machine learning, automation systems, and systems integration.</p>
<p>
</p><p><b>ESSENTIAL DUTIES AND RESPONSIBILITIES: </b>(Other duties may be assigned)-</p>
<ul>
<li>Integration of AI Technologies<b>:</b> Design, develop, and implement AI solutions to automate and optimize manufacturing processes. Collaborate with cross-functional teams to integrate AI systems into existing workflows and machinery.</li>
<li>System Analysis and Design: Analyze current manufacturing systems to identify opportunities for AI and automation integration. Develop detailed design specifications and functional requirements.</li>
<li>Algorithm Development: Create and deploy machine learning algorithms and models to predict, analyze, and enhance manufacturing outcomes.</li>
<li>Project Management: Lead and manage AI integration projects from conception through implementation, ensuring timely delivery and adherence to project goals.</li>
<li>Data Management: Collect, preprocess, and analyze large sets of manufacturing data to train AI models. Ensure data integrity and security throughout the process.</li>
<li>Continuous Improvement: Continuously monitor and evaluate the performance of AI systems, implementing improvements and updates as necessary to maintain optimal performance.</li>
<li>Technical Support: Provide ongoing technical support and training to manufacturing teams on the use and maintenance of AI systems.</li>
</ul>
<p></p><p><b>EDUCATION and/or EXPERIENCE</b><b>-</b></p>
<ul>
<li>Education: Bachelor's or Master's degree in Engineering, Computer Science, AI, Robotics, or a related field.</li>
<li>Experience<b>:</b> Proven experience in AI, machine learning, and automation within a manufacturing environment. Strong background in systems integration and project management.</li>
<li>Technical Skills: Proficiency in programming languages such as Python, R, and C++. Experience with AI frameworks and tools such as TensorFlow, Keras, and PyTorch. Knowledge of PLCs, SCADA systems, and industrial automation protocols.</li>
<li>Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights.</li>
<li>Communication Skills: Excellent verbal and written communication skills with the ability to convey technical concepts to non-technical stakeholders.</li>
<li>Team Player: Ability to work effectively in a team environment and collaborate with cross-functional teams to achieve common goals.</li>
<li>Industry Certifications: Relevant certifications in AI, machine learning, or automation engineering.</li>
<li>Experience with Emerging Technologies: Familiarity with IoT, edge computing, and advanced robotics as they pertain to manufacturing.</li>
<li>Innovative Mindset: A proactive approach to exploring and implementing cutting-edge technologies to drive continuous improvement.</li>
<li>
</li></ul><p><b>LANGUAGE SKILLS</b><b>-</b></p>
<ul><li>Ability to read, analyze, and interpret technical procedures, manuals, regulations, and codes</li></ul>
<ul><li>Ability to write business reports and correspondence</li></ul>
<ul><li>Ability to communicate effectively with suppliers, contractors, employees and outside officials to the company</li></ul>
<ul><li>Clear, concise oral and written communication skills</li></ul>
<p>
</p><p><b>MATHEMATICAL SKILLS</b><b>-</b></p>
<ul><li>Ability to apply concepts of algebra and statistics along with basic math (adding, subtracting, multiplying and dividing)</li></ul>
<p>
</p><p><b>REASONING ABILITY</b><b>-
</b></p><ul><li>Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists</li></ul>
<ul><li>Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form</li></ul>
<p>
</p><p><b>TECHNICAL SKILLS</b><b>-
</b></p><ul><li>Ability to gather information and perform detailed analysis and problem solving</li></ul>
<ul><li>Ability to create reports for review by upper management</li></ul>
<p>
Computer literate with proficiency in Microsoft Word, PowerPoint, Excel, Seeq, and ML/AI software as required to perform the responsibilities of this position</p>
<p>
</p><p><b>PHYSICAL DEMANDS</b><b>-
</b></p><ul><li>Employee is regularly required to walk, talk, and hear</li></ul>
<ul><li>Employee is frequently required to stand; use hands to finger, handle, feel; and reach with hands and arms</li></ul>
<ul><li>The employee is occasionally required to sit</li></ul>
<ul><li>The employee must regularly lift and/or move up to 50 pounds</li></ul>
<ul><li>Vision requirements include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus</li></ul>
<p>
</p><p><b>WORK ENVIRONMENT</b><b>-
</b></p><ul><li>The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job</li></ul>
<ul><li>While performing the duties of this job, the employee can be exposed to wet and/or humid conditions, moving mechanical parts, and fumes of airborne particles</li></ul>
<ul><li>The noise level in the field work environment is usually loud when working in the manufacturing plants
</li></ul><ul><li>The position may work remotely at times as deemed necessary by the General Manager<b>
</b></li></ul><p></p><p>Equal Employment Opportunity/Affirmative Action Employer/Veterans/Disabled.</p>
Requirements:
<p>Pratt Industries is America's 4th largest paper and packaging company with more than 10,000+ highly skilled green collar employees dedicated to the environment and sustainability. Pratt Industries is one of the largest corrugated packaging companies in America, with sophisticated manufacturing facilities in more than twenty states. The company operates several of the most modern, cost effective paper mills in the country, as well as a series of sheet and box plants strategically placed throughout the United States offering a wide range of creative packaging solutions. Pratt Industries is committed to recycling and the environment by harvesting the urban forest.<br>
<br>
Pratt Industries offers competitive compensation plans with incentive opportunities, full benefits package including medical, dental, vision, life, disability, All State, Pre-Paid Legal, and 401(k) with company match, paid vacation, paid holidays, and childbearing and parental leave.</p></div>

Automation Engineer (Shreveport, LA)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services.<br>
<br>
At Amazon, we&rsquo;ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com&rsquo;s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it&rsquo;s a big part of our heritage.<br>
<br>
AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review.
<br>
<br>
You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and Performance Evaluation frameworks. You should have experience architecting end to end ML/Gen AI applications for customers using AWS services and Well Architected Framework.<br>
<br>
Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.<br>
<br>
Travel up to 50% may be possible.<br>
<br>
Key job responsibilities<br>
- Customer Advisor- Implement, and deploy state of the art machine learning solutins under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.<br>
<ul><li>Thought Leadership &ndash; Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
</li><li>Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements.
</li><li>Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback.
</li><li>Develop and support an AWS internal community of GenAI related subject matter experts worldwide. Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures.
</li></ul><br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>3+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>7+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch or JAX software</li><li>3+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.</li><li>Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.&quot;</li><li>Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning and retrieval method evaluation and optimization approaches.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of infrastructure architecture, database architecture and networking experience</li><li>Experience working with end user or developer communities</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually<br>
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually<br>
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually<br>
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually<br>
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually</div><p></p>

Senior Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

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