machine learning specialist

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>Plays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.</div></div></div></div></div></div></div>

Lead Machine Learning Engineer

Chevron

<div><div><p>Chevron believes the future of energy is lower carbon. And we know that affordable, reliable, ever-cleaner energy is essential to achieving a more prosperous and sustainable world. For Chevron, reducing the carbon intensity of oil and gas represents a tremendous opportunity to advance the global net zero ambitions of the Paris Agreement and build a lower-carbon economy.</p><p></p><p>
Technology will play a crucial role in achieving this goal, and Chevron is seeking interns with a desire to thrive in a cutting-edge digital, global environment to securely advance the global energy transition. We differentiate ourselves through the application of technology, taking an approach that includes in-house expertise, proprietary solutions, and strategic partnerships.</p><p></p><p>
You will be supported by mentoring programs and employee networks to excel your professional development, learn about our business and technology organizations from key leaders, and have fun with work and social events throughout the summer!</p><p></p><p>
Information and Analytics is one of five job families within Information Technology. Roles within this job family understand the use of data, insights, and information to support work processes and strategic business objectives:</p><ul><li>
Transforms data into insights for making better decisions across the enterprise.</li><li>
Develops, executes, and manages information and data architectures, governance, practices, and procedures.</li><li>
Manages the full information and data lifecycle needs of the enterprise.</li></ul><p></p><p><b>
Positions available</b></p><ul><li>
Data Scientist</li><li>
Data Engineer</li><li>
Machine Learning Engineer</li><li>
Business Intelligence Analyst</li><li>
Data Analyst</li></ul><p></p><p><b>
Locations</b></p><ul><li>
Houston, TX</li></ul><p></p><p><b>
Data Scientist</b></p><p>
We are looking for motivated individuals to apply data science and machine learning expertise and solution delivery to join our team! You will be responsible for partnering across the business to identify opportunities to apply data science and create data science products that deliver strong value. Successful candidates will have the skills to identify, prototype, and build data science products.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation</li><li>
Identify data necessary and appropriate technology to solve business challenges</li><li>
Clean data, develop models, and test models</li><li>
Establish the life cycle management process for models</li><li>
Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills</li></ul><p></p><p><b>
Data Engineer</b></p><p>
We are looking for motivated individuals to design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. You will leverage data and software engineering techniques to create business value through data accessibility. The primary role of data engineers is to make data available, secure, and accessible in usable formats to stakeholders. Successful candidates will understand the business use of data and the stakeholders&rsquo; requirements to support work processes and strategic business objectives.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns</li><li>
Create and manage data pipelines that enable advanced analytics models, and handle data challenges and opportunities</li><li>
Ensure the scalability and reliability of model deployment, and document the technical aspects of the process</li><li>
Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows</li></ul><p></p><p><b>
Machine Learning Engineer</b></p><p>
We are looking for motivated individuals to bring technical expertise, innovation, and passion for building amazing data science solutions with real-world impact to join our team! Successful candidates will drive significant value through the agility of a small startup while ensuring scale and model/code reuse to a larger federated, world-wide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals and Business experts to build and deliver innovative, value driven AI solutions.
</p><p></p><p><b>Key responsibilities</b></p><ul><li>
Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation</li><li>
Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures</li><li>
Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
</li><li>Build machine and deep learning systems optimized for scalability and performance</li><li>
Transform data science prototypes into scalable solutions in a production environment</li><li>
Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product</li><li>
Run machine learning experiments and fine-tune algorithms to ensure optimal performance</li></ul><p></p><p><b>
Business Intelligence Analyst</b></p><p>
We are looking for motivated individuals to provide data science and analytics expertise and solution delivery across Chevron to join our team! You will understand data in the larger context of the business and the value chain to transform data into insights for better decision-making through scientific exploration, analytics, and data. Successful candidates will be accountable for leading initiatives by performing data analysis, translating data requirements to technical requirements, and driving insights to business problems and decisions.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Access, gather, and analyze data from source systems</li><li>
Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.)</li><li>
Drive insights to business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.)</li><li>
Participate in the end-to-end product development lifecycle as a member of agile team</li><li>
Contribute to data analysis, data wrangling, data visualization, and acceptance testing</li><li>
Present findings and new development to help refine backlog items</li></ul><p></p><p><b>
Data Analyst</b></p><p>
We are looking for motivated individuals to provide expertise on how business workflows map to data, and how data can be integrated to build reusable data products. Successful candidates will be able to analyze the current state of data management: process, practices, tools &ndash; helping to shape future needs and serve as a subject matter expert for delivery teams.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Understand the business use of data and stakeholder requirements to support strategic business objectives</li><li>
Collaborate with delivery teams to provide data management direction and support for initiatives and product development</li><li>
Contribute to the design of common information models</li><li>
Consult on the appropriate data integration patterns, data modeling and data quality</li><li>
Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process</li></ul><p></p><p><b>
Requirements</b></p><p><b>
Preferred education / degrees</b></p><ul><li>
Currently enrolled in bachelor&rsquo;s or master&rsquo;s degree program in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degree</li><li>
Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.</li></ul><p></p><p><b>
Experience</b></p><ul><li>
Data acquisition, analysis, modeling, movement, transformation, and preparation experience</li><li>
Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)</li></ul><ul><li>
Data Analyst: Experience with data modeling, data management, data quality, SQL</li><li>
Data Engineer: Experience using data pipelines, Data Lake and storage configuration, Python, RDBMS &amp; SQL</li><li>
Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.</li></ul><p></p><p><b>
Preferred skills / competencies</b></p><ul><li>
Ability to communicate in a clear and concise manner both orally and in writing.</li></ul><ul><li>
Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support</li><li>
Experience designing custom APIs for machine learning models for training and inference processes</li><li>
Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.</li></ul><p></p><p><b>
Additional information</b></p><ul><li>
Relocation may be considered within Chevron parameters</li><li>
Chevron regrets that it is unable to sponsor employment visas or consider individuals on time limited visa status for this position</li></ul></div><div></div><div><div><div><div><p><b><br>
Regulatory Disclosure for US Positions:</b></p><ul><li>
The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law.
</li><li>The anticipated hourly range for this position is $23.65 - $37.50. The selected candidate&rsquo;s monthly or hourly compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.
</li><li>Chevron offers competitive compensation and benefits programs to eligible employees which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at http://hr2.chevron.com/.</li></ul></div></div></div></div><p></p><p><br>
U.S. Regulatory notice:</p><p></p><p>
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.</p><p></p><p>
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.</p><p></p><p>
Chevron participates in E-Verify in certain locations as required by law.</p></div>

2026-2027 Information Technology – Information and Analytics – Intern

Alignerr

<div>
 <strong>
  Machine Learning Engineer - AI Data Trainer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Location: Remote
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 <br/>
 <br/>
 This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments.
 <br/>
 <br/>
 <strong>
  Organization
 </strong>
 : Alignerr
 <strong>
  Position
 </strong>
 : Machine Learning Engineer - AI Data Trainer
 <strong>
  Type
 </strong>
 : Hourly Contract
 <strong>
  Compensation
 </strong>
 : $50&ndash;$70 /hour
 <strong>
  Location
 </strong>
 : Remote
 <strong>
  Commitment
 </strong>
 : 10&ndash;40 hours/week
 <br/>
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 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Draft precise, organized logical logs for sophisticated technical challenges.
  </li>
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   Record sequential strategizing and choice-making workflows.
  </li>
  <li>
   Generate training datasets that illustrate proficient tool interaction for AI models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional expertise in Machine Learning, Engineering, or a technical discipline.
  </li>
  <li>
   Superb skill in explaining intricate logical processes and methodologies clearly.
  </li>
  <li>
   Critical thinking skills to audit and refine AI-generated reasoning steps.
  </li>
  <li>
   Master's Degree or PhD
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience with data annotation, data quality, or evaluation systems.
  </li>
  <li>
   Master's Degree or PhD
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive pay and flexible remote work.
  </li>
  <li>
   Collaborate with a team working on cutting-edge AI projects.
  </li>
  <li>
   Exposure to advanced LLMs and how they&rsquo;re trained.
  </li>
  <li>
   Freelance perks: autonomy, flexibility, and global collaboration.
  </li>
  <li>
   Potential for contract extension.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application Process (Takes 15-20 min)
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  <br/>
 </strong>
 <ul>
  <li>
   Submit your resume
  </li>
  <li>
   Complete a short screening
  </li>
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   Project matching and onboarding
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   <br/>
  </li>
 </ul>
 <em>
  PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 </em>
</div>


Machine Learning Engineer

University of Wollongong in Dubai

<div>About UOWD<p><br>
Established in 1951 and ranked in the top 1% of universities worldwide*, Australia&rsquo;s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.</p><p>
University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education&rsquo;s Commission for Academic Accreditation (CAA) and licensed by Dubai&rsquo;s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.</p><p>
The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.</p><p>
Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.</p><ul><li>QS World University Rankings 2023</li></ul>
**Data from the Graduate Destination Survey 2017 to 2020
About the School<p><br>
The School of Computer Science, at the University of Wollongong in Dubai, seeks to appoint for the September 2026 semester a dynamic and talented academic with expertise in one or many of the following areas: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision.</p><p>
The School of Computer Science aims at producing innovative, well-rounded, hands-on professionals that are well versed in technological and computing concepts and skills. The school offers 7 programs under the umbrella of computer science and IT. Those programs are designed to be practical and focused on industry needed skills in popular areas of computer science and IT, including: Software development, Cyber Security, Big data and AI, Gaming and mobile development, Business information systems, IT management, and digital transformation.</p><p></p>
Requirements &amp; Responsibilities<p><br>
We are seeking an experienced academic in the area of AI and Big Data having a PhD in the related field, from a recognized university. <b>The position is offered at the Associate Professor level</b>, according to experience and qualification. It is a full-time position that requires the holder to contribute to the School's teaching, research and governance activities.</p><p>
The applicant is expected to have teaching experience in AI and Big Data related topics including: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking at a recognized higher education institution, along with a record of scholarly research and high-quality publications in the relevant field. Industry experience or evidence of industry-academic collaborations would also be beneficial.</p><p>
The post-holder will also be expected to supervise final year graduation projects, MSc projects and PhD Thesis. He/She will be expected to fully engage in scholarly and research activities within the thriving engineering team to produce high-impact research and deliver research-informed undergraduate and Master's level teaching. The applicant is expected to have an experience of involvement in collaborative research with external organizations and have a strong track record for the dissemination of knowledge through recent publications in high impact international journals and international conferences.</p><p>
As a Faculty member, you will have an excellent research track record and will be required to demonstrate research leadership from the outset. You will be expected to raise the profile of the Faculty through external networking, and producing high impact, high profile publications. In addition, you will be expected to seek to gain your own research funding to develop/expand your role within the university.</p>
Qualifications &amp; Experience<p><br>
To qualify for the above role, candidate must have the following qualifications and experience</p><ul><li>PhD. in Computer Science/AI and Big Data with thesis in AL and Machine Learning from a recognized international academic institution</li><li>At least 6 years of teaching experience at an internationally recognized institution in area related to Computer Science, AI, Data Analytics.</li><li>Working knowledge of techniques and tools for: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer vision and applications, Data Mining, Database performance tuning, GANs, Generative AI, and Natural language processing.</li><li>Industry experience related to Advanced AI, Machine Learning and Smart systems is a plus</li><li>An active researcher in the field (or related field) with publications in recognized international journals and indexed in Scopus and Web of Science</li><li>Fluency in the English language (both spoken and written)</li><li>Excellent communication skills</li></ul><p>
Preferred Qualifications</p><ul><li>Documented experience in the application of Artificial Intelligence, Machine Learning, and Big Data Analysis to modern information systems problems</li><li>Ability to teach and conduct research about the latest AI and Big Data Analysis techniques and strategies as well as the project skills to apply this knowledge in the real world</li><li>Ability to teach and conduct research about the latest computer science topics to design, implement and test AI based solutions for solving complex problems.</li><li>Working knowledge of Relational and Cloud databases</li><li>Experience with Hadoop, HBase, Spark and other Big data management technologies</li><li>Experience with AI and Machine learning models, and related libraries and platforms (e.g. TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini).</li></ul></div>

Associate Professor - AI & Big Data

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Special Projects &amp; Investigations team is looking for an experienced, motivated industry specialist with background in risk, digital fraud, compliance, or cyber investigations who also have advanced data analysis skills (SQL, Python, Machine Learning, Data Science). This role will manage critical and high impact projects and scale their findings through technology and analytics to interpret risks across Amazon&rsquo;s entire business segment or apply other industry experience to develop feasible, systematic solutions to endemic problems.<br>
<br>
The Customer Trust (CT) organization's mission is to keep Amazon stores safe and trustworthy for our buyers, brands and selling partners, by enabling our selling partners to provide great CX while ensuring bad actors are kept out of our stores. The Special Projects &amp; Investigations (SPI) team protects Amazon&rsquo;s WW stores store by creating projects and programs focused on the detection of abuse at its earliest point and identifying the root causes, vulnerabilities or exploits to systematically address to prevent future abuse. We search out highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. The combination of our unique backgrounds and perspectives strengthens our ability to achieve Amazon's mission of being Earth's most customer-centric company.
<br>
<br>
We catch bad actors and stop online fraud. It&rsquo;s fun. It&rsquo;s hard. It matters. We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion. Amazon is one of the world&rsquo;s most trusted companies. Help us keep it that way. To achieve this, the ideal candidate should be passionate about use of advanced data analytics and technology approaches to identify patterns and establish connections to uncover process and technology gaps and prevent fraud across Amazon stores worldwide. Your decisions are not only fundamental to helping protect customers and selling partners but will help maintain the health of Amazon&rsquo;s catalog and product listings ecosystem.<br>
<br>
Key job responsibilities<br>
<ul><li>Complete risk analyses and manipulate data in complex data sets (SQL, Python, R etc.)</li><li>Use high-level judgment to inform our most complex enforcement decisions</li><li>Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.</li><li>Use data and/or technical skills to discover new ways to scale deep dive signals resulting in the identification of many bad actors and sizing the issue</li><li>Owning the complete life cycle of one or more complex problems - from identification through scaling the solutions</li><li>Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment</li><li>Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores, identifying gaps and risk in Amazon's current mechanisms, systems, and policies</li><li>Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders</li><li>Own partnerships with stakeholder teams and guide appropriate trade-offs, clearly communicate goals, roles and responsibilities.</li><li>Utilize agentic AI systems to automate workflows, scale pattern detection, and accelerate investigation and detection projects.<br>
</li></ul><br>
<br>
A day in the life<br>
Your day might involve diving deep into data to uncover emerging fraud patterns, collaborating with teams across Amazon to implement protective solutions, or developing new detection methods. You'll balance independent analytical work with team collaboration, sharing insights and supporting colleagues in our shared mission.<br>
<br>
About the team<br>
Our team is comprised of practitioners of fraud and abuse, working to understand bad actor ecosystems using threat intelligence analytics and technical skills. We complement specialized industry skills with broad risk experiences, to deliver results - we wear a lot of hats and take ownership of hard to solve problem areas whenever possible. We speak 12 languages, write code in 3 (mostly self-taught, on the job), and celebrate learning and taking risks. We encourage experimentation and curiosity while supporting each other to constantly learn and grow.<br>
<br>
Our work is to solve hard puzzles and identify what hasn&rsquo;t already been discovered - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>3+ years of relevant industry experience in risk or fraud investigations, Identity and Access Management, e-commerce, analytics, or security</li><li>Proficient with deriving insights from big data using SQL &amp; experience manipulating/processing data with Python, and AI tools</li><li>Proven ability to deliver complex projects across multiple teams</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards</li><li>Experience in Amazon Redshift and other AWS technologies</li><li>Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining</li><li>Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership</li><li>Experience working in e-commerce or tech industry working on scaled abuse</li><li>Experience working in relevant industries such as Identity and Access Management, security, investigations, risk, compliance or project management</li><li>Exceptional ownership and bias for action: willing to move quickly and decisively</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>
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, AZ, Tempe - 102,000.00 - 178,400.00 USD annually<br>
USA, CA, San Diego - 102,000.00 - 178,400.00 USD annually<br>
USA, VA, Arlington - 102,000.00 - 178,400.00 USD annually<br>
USA, WA, Seattle - 102,000.00 - 178,400.00 USD annually</div><p></p>

Scaled Abuse Specialist, Special Projects & Investigations

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI service provider of choice? Do you love building new strategic and data-driven businesses? Do you want to join Generative AI Specialty sales organization, one of the fastest-growing organizations within AWS? Join the US AWS Global Sales organization as a Generative AI and Machine Learning Specialist Seller!<br>
<br>
As a Generative AI Sales Specialist, you will be at the forefront of driving adoption for AWS's AIML and Generative AI services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging with AWS customers to understand their needs and align them with AWS Generative AI solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI solutions to unlock new value streams and solve key business problems using AWS AIML services. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales, from identifying qualified leads to realizing revenue. You will understand a customer&rsquo;s business initiatives, help craft account plans to achieve those initiatives, identify and drive opportunity win plans to enabling those business initiatives, and ensure successful launch to realize both customer vision and AWS revenue. You will earn trust with Line of Business, Data Science, and IT personas. You will understand detailed business drivers in your forecast, and intentionally work the best opportunities that maximize your ability to hit revenue goals.<br>
<br>
Furthermore, you will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to so that you are growing knowledge ahead of your customers. You can describe the &ldquo;why&rdquo; and &ldquo;what&rdquo; of generative AI use case and technical solutions at a 200-level, with the detailed &ldquo;how&rdquo; being provided by solution architects. You can conduct compelling executive conversations on the transformational possibilities of generative AI and data, resulting in subsequent meetings with the wider team.<br>
<br>
Key job responsibilities<br>
<ul><li>Accelerate customer adoption by defining and executing sales plays within your assigned accounts. Your strategies will leverage AWS Sales and our partner ecosystem.</li><li>Ideate with Line of Business and C-suite leaders, building trust with your technical expertise, and following through to help solve their most compelling business problems.</li><li>Act as the front line within your accounts for all specialist customer engagement in your tech domain.</li><li>Create and articulate compelling value propositions that address specific needs of your customers.</li><li>Partner with the world&rsquo;s biggest system integrators to deliver on customer projects.</li><li>Spearhead market expansion by pinpointing new customer segments and Gen AI use cases</li><li>Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition</li><li>Gather customer input and experiences enabling our service team to innovate on behalf of our customers</li><li>Establish credibility and trust with the customers, account teams and service teams.</li><li>Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.</li><li>Engage systems integrators and closely collaborate with AWS partners to deliver maximum customer value</li><li>Develop and deliver compelling ROI to drive adoption of AWS Gen AI solutions</li></ul><br>
A day in the life<br>
Once you have completed your onboarding plan, you will be equipped to help account teams by leading sales opportunities through the technical and business validation stages. Your first task will be to prioritize your top customers and opportunities. After you understand their business objectives, you will create and lead win plans through to launch. You will become an active member of the account teams, helping them scale to meet the critical needs of our customers. As you deliver value to these customers, you will learn to scale your reach out to more customers in your territory.<br>
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About the team<br>
We are a team of AIML, Analytics, and Database Sales specialists that help our enterprise customers transform their business in order to improve operational efficiency and develop new revenue streams by leveraging their data and the AI capabilities of the AWS Cloud and our AI application partners. We collaborate on customer initiatives, finding ways we can help each other, help our customers.<br>
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</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience</li><li>3+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business</li><li>Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives</li><li>Experience identifying, developing, negotiating, and closing large-scale technology projects for global customers</li><li>Experience (technical or educational) in Engineering or Computer Science</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>
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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>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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, restricted stock units (RSUs), and sales incentives. 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, Irvine - 142,800.00 - 193,200.00 USD annually<br>
USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually<br>
USA, IL, Chicago - 142,800.00 - 193,200.00 USD annually<br>
USA, NY, New York - 157,100.00 - 212,600.00 USD annually<br>
USA, TX, AUSTIN - 142,800.00 - 193,200.00 USD annually<br>
USA, TX, Dallas - 142,800.00 - 193,200.00 USD annually<br>
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Sr Specialist Sales Rep, GenAI/ML, Retail and Consumer Packaged Goods

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
**This is an experimental role to support a business pilot and can potentially span up to 12 months**<br>
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Embark on a transformative journey as our Expert Consultant, where intellectual rigor meets technological innovation. As an Expert Consultant, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.<br>
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Key job responsibilities<br>
<ul><li>Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
</li><li>Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
</li><li>Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops</li><li>Foster team excellence through mentorship and motivation of peers and junior team members
</li><li>Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs</li><li>Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
</li><li>Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.</li><li>Develop and write demonstrations to illustrate &quot;what good data looks like&quot; in terms of meeting benchmarks for quality and efficiency</li><li>Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of guiding and coaching a group of researchers experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</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>
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Expert Consultant- STEM (Contract), AGI - Data Services

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