generative ai engineer

INVONTO, LLC.

We have an immediate opening for a Generative AI engineer with experience in creating custom LLM based applications. Must have full-stack Python development experience creating restful APIs and managing databases.This is not an entry level or junior position. We are seeking an engineer that has professional experience.Must be a US Citizen or Permanent Resident. We are unable to sponsor work visas or hire OPT candidates. This is a direct hire position. No 3rd party agencies or corp-to-corp candidates will be considered.Qualifications<ul><li>A degree in computer science, engineering, robotics, or relevant field</li><li>Minimum 5 years of professional AI development experience with at least 2 years of GenAI development experience.</li><li>3+ years of experience with Python programming, Postgres database, and API development</li><li>Experience with PyTorch and Tensorflow will be a plus</li><li>Experience deploying applications on AWS and Azure</li><li>Must be able to perform independently or in a small team</li><li>Must have a knack for working on modern technologies and ability to develop new skills</li><li>Excellent written and verbal communication skills</li></ul>Additional DetailsThis is a direct-hire full-time position. This is a hybrid role requiring candidates to work 2-3 days every day from our office in Bridgewater, New Jersey. Position offers competitive salary in the range of $75,000 - $90,000 based on experience level.Position requires US Citizenship or Permanent Residency. We are unable to sponsor work visas or hire OPT candidates. This is a direct-hire position only and no third party agencies and corp-to-corp candidates will be considered. Please apply only if you have relevant skills, work authorization, and required qualifications.Please submit your application with a resume and cover letter. Only short listed candidates will be contacted. No phone calls, please!About InvontoInvonto is a digital consulting company. We design and build digital products that transform companies and advance industries. We have a diverse and experienced team that takes pride in solving complex business problems with innovative digital solutions. We've partnered with many Fortune 500 companies, such as Merck, Comcast, Sealed Air, D. R. Horton, and Transamerica.Job Type: Full-timePay: $75,000.00 - $90,000.00 per yearBenefits:<ul><li>Flexible schedule</li><li>Health insurance</li><li>Paid time off</li><li>Tuition reimbursement</li></ul>Application Question(s):<ul><li>Are you a US Citizen or Permanent Resident, as required for this role?</li></ul>Experience:<ul><li>Python Flask: 2 years (Required)</li><li>Dataset preparation: 3 years (Required)</li><li>Python: 5 years (Required)</li><li>API Development: 2 years (Required)</li><li>AI development: 5 years (Required)</li><li>Generative AI: 2 years (Required)</li><li>PyTorch: 2 years (Preferred)</li></ul>Work Location: Hybrid remote in Bridgewater, NJ 08807

Generative AI Engineer

American business solutions inc

<div><h2 class="jobSectionHeader">Required Skills</h2>
Undergraduate degree in computer science, data science, artificial intelligence or related field required.
1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria
2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms
2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.
1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.
1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.
1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.
1 year of hands-on experience integrating AI capabilities with Azure and AWS.
<h2 class="jobSectionHeader">Preferred Skills</h2>
Background in a variety of programming languages and principals.
Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.
Experience with data tools and techniques for storing, retrieving, and cleaning data.</div>

Generative AI Engineer(Local to SC)

HCLTech

Frisco, Texas
 Job Summary
 
The Generative AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions leveraging large language models (LLMs), diffusion models, and other generative frameworks. The role involves collaborating closely with data scientists, software engineers, and business teams to create intelligent, context-aware applications that enhance automation, creativity, and decision-making across the enterprise.
 
Key Responsibilities
 
Design, fine-tune, and deploy large language models (LLMs) and other generative models for specific business use cases.
 <ul>
<li>Build and optimize prompt engineering and model interaction strategies for improved output accuracy and relevance.</li>
<li>Develop APIs, pipelines, and integrations to embed generative AI capabilities into products and workflows.</li>
<li>Collaborate with data engineers to ensure high-quality, domain-relevant datasets for model training and evaluation.</li>
<li>Implement responsible AI principles, including bias mitigation, explainability, and data governance.</li>
<li>Monitor model performance and continuously refine models through feedback loops and retraining.</li>
<li>Stay up to date with emerging trends in AI research, frameworks (e.g., LangChain, Hugging Face, OpenAI API), and open-source tools.</li>
<li>Contribute to internal knowledge sharing and best practices for scalable AI deployment.</li>
</ul>
Skill Requirements
 
o Proficiency in Python and frameworks such as PyTorch or TensorFlow.
 
o Experience in SQL, Machine Learning, Big Dat and other Databases.
 
o Experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and vector databases (Pinecone, FAISS, Weaviate).
 o Familiarity with prompt engineering, model fine-tuning, and reinforcement learning from human feedback (RLHF).
 o Strong understanding of NLP, deep learning, and data pipeline design.
 o Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment.
 o Strong problem-solving and analytical thinking.
 
Other Requirements
 
Certifications in GenAI or Agentic AI
 
Maximum Salary (US):Minimum Salary (US): 
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Platform Engineer I

Capgemini

<div><div><div><div>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.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>San Francisco CA
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation. 
 
Key Responsibilities 
 
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
 
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
 
Build and support AI agents, autonomous systems, and agentic workflows.
 
Deploy, monitor, and optimize AI models in production using MLOps practices.
 
Design and maintain data pipelines, data lakes, and data warehouses.
 
Monitor model performance, troubleshoot issues, and manage data/model drift.
 
Collaborate with business and technical teams to align AI solutions with organizational objectives.
 
Create reusable assets, demos, and proof-of-concepts to support innovation and business development. 
 
 
</div></div><div><div><h2 class="jobSectionHeader">Required Skills and Experience
</h2></div><div>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
 
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
 
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
 
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.
GPT, Claude LLM, Stable Diffusion
 
LangChain
 
TensorFlow
 
PyTorch
 
Scikit-learn
 
RAG (Retrieval-Augmented Generation)
 
AI Agents &amp; Agentic Workflows
 
API Development
 
REST APIs
 
JSON
 
HTTP Requests
 
Authentication &amp; Tokens
 
Error Handling &amp; Debugging 
 
 
 
 
</div></div></div>The base compensation range for this role in the posted location is $90,000- $160,000
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.
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.
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.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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.
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:
<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>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.
Disclaimers
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.
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.
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.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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.</div></div></div></div>

Data Scientist/ AI Engineer

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 
 
 What you'll do
 
 
 
 
 <ul>
 <li>
 Designing, building, and scaling machine learning models and infrastructure
 </li>
 <li>
 Deploying deep learning and generative models into production for public and private sector projects
 </li>
 <li>
 Optimizing ML training and inference for performance, latency, and scalability
 </li>
 <li>
 Monitoring, retraining, and improving deployed ML models
 </li>
 <li>
 Driving consultation efforts, providing expert guidance to client stakeholders
 </li>
 <li>
 Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
 </li>
 <li>
 Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
 </li>
 <li>
 Develop backend services and APIs to expose AI capabilities securely and reliably
 </li>
 <li>
 Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
 </li>
 <li>
 Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related field
 </li>
 <li>
 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
 </li>
 <li>
 Strong track record of projects across public and private sectors
 </li>
 <li>
 Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
 </li>
 <li>
 Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
 </li>
 <li>
 Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
 </li>
 <li>
 Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
 </li>
 <li>
 Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
 </li>
 <li>
 Familiarity with MLOps practices and automation pipelines
 </li>
 <li>
 Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
 </li>
 <li>
 Experience building data ingestion, transformation, and processing pipelines
 </li>
 <li>
 Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
 </li>
 <li>
 Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
 </li>
 <li>
 Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
 </li>
 <li>
 Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
 </li>
 <li>
 Ability to independently build functional AI applications from prototype through production
 </li>
 <li>
 Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

AI Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.
As a Senior Associate, Generative AI Engineer in the Chief Data and Analytics Office, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.
Job responsibilities
<ul><li>Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use</li>
<li>Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences</li>
<li>Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption</li>
<li>Implement batch and real-time processing patterns to support high-throughput, low-latency use cases</li>
<li>Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems</li>
<li>Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening</li>
<li>Optimize system performance, scalability, and cost across inference, storage, and compute</li>
<li>Define and track measurable outcomes, including objectives and key results aligned to business needs</li>
<li>Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations</li>
<li>Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements</li>
</ul>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience</li>
<li>3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering</li>
<li>Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health</li>
<li>Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision</li>
<li>Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)</li>
<li>Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices</li>
<li>Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements</li>
<li>Ability to define success metrics and write clear objectives and key results aligned to business expectations</li>
<li>Strong problem-framing skills to align machine learning solutions to business objectives and constraints</li>
<li>Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders</li>
</ul>Preferred qualifications, capabilities, and skills
<ul><li>Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)</li>
<li>Experience building batch and streaming microservices exposed via gRPC and/or GraphQL</li>
<li>Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models</li>
<li>Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches</li>
<li>Experience with multimodal large language model use cases (text plus image, speech, or video)</li>
<li>Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations</li>
<li>Experience measuring and improving model quality using offline evaluation and production monitoring</li>
</ul>#LI-RB3
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Generative AI - Senior Associate

Thermo Fisher Scientific

<div>Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
At Thermo Fisher&rsquo;s PPD clinical research business, we&rsquo;re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.
We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively. 
Position Summary:
We are seeking a highly motivated AI Engineer (known internally as a Scientist II, Data Sciences, band 5) to help design, build, deploy, and optimize AI solutions that advance CRG's digital strategy. In this role, you will design, implement, and optimize AI models that support data analysis, automation, and innovation. You'll collaborate with data scientists, software engineers, and domain experts to translate business needs into scalable, intelligent solutions.
The ideal candidate will be proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI. Proven experience needed with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques.
Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI.
AI and Machine Learning Development<ul><li>
Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support.</li><li>
Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems.</li><li>
Evaluate and optimize model performance using appropriate validation metrics and techniques.</li><li>
Build reusable model pipelines, APIs, and components for scalable AI product deployment.</li></ul>
Data Engineering and Data Management<ul><li>
Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources.</li><li>
Build and maintain ETL/data workflows that support ML and generative AI workloads.</li><li>
Work with relational, document, columnar, graph, and object store systems; design schemas for AI and analytics use cases.</li><li>
Ensure data quality, reproducibility, lineage, and governance compliance.</li></ul>
Digital Product Integration and Lifecycle Management<ul><li>
Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability.</li><li>
Support documentation, traceability, and regulatory readiness (e.g., auditability, GxP considerations).</li><li>
Contribute to CRG Digital's product development lifecycle including discovery, prototyping, testing, deployment, and iteration.</li></ul>
Innovation, Partnerships, and Enablement<ul><li>
Stay current on emerging AI and ML technologies, evaluating opportunities for CRG Digital roadmaps.</li><li>
Contribute to an innovative ecosystem involving external partners and technology collaborators.</li><li>
Support internal digital and AI upskilling through documentation, best practices, and knowledge sharing.</li></ul>
Tools, Technologies, and Platforms
Programming: Python, SQL, Spark
Libraries and Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, LangChain/LangGraph, OpenAI/other LLM SDKs
Data Tools: Pandas, NumPy, Jupyter
Cloud and Platforms: Databricks, AWS, Azure GCP; S3 or Azure Blob Storage
Version Control: Git/GitHub<h2 class="jobSectionHeader">
Education and Experience:</h2><ul><li>
Bachelor's degree or equivalent and relevant formal academic/vocational qualification. Master's degree preferred.</li><li>
Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years).</li><li>
In some cases, an equivalency, consisting of a combination of appropriate education, training, and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.</li></ul>
Knowledge, Skills, and Abilities:<ul><li>
Proficiency in modern SQL, Python, Spark, and associated AI/ML packages.</li><li>
Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices.</li><li>
Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior.</li><li>
Experience with cloud architecture, distributed computing, and modern ML platforms.</li><li>
Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment).</li><li>
Ability to manage multiple priorities in a matrixed environment.</li><li>
Excellent analytical thinking, problem-solving, and communication skills.</li><li>
Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams.</li></ul>
At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:<ul><li>
Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.</li><li>
Able to work upright and stationary for typical working hours.</li><li>
Ability to use and learn standard office equipment and technology with proficiency.</li><li>
Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.</li><li>
May require as-needed travel (0-20%).</li></ul> 
Location: Remote US- east coast time zone. Relocation assistance is NOT provided.<ul><li>Must be legally authorized to work in the United States or Mexico without sponsorship.</li><li>Must be able to pass a comprehensive background check, which includes a drug screening.</li></ul> 
The annual salary range estimated in the US for this position is $80,000- $100,000 USD. Salary range for Mexico will be supplied upon interview. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.</div>

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2850 generative ai engineer jobs Near Me

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