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Distinguished Scientist, Artificial Intelligence and Machine Learning

Oak Ridge National Laboratory

Oak Ridge, Tennessee, USA

Full-time

Requisition Id 14593 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive sci

Senior Artificial Intelligence and Machine Learning Research Scientist

Oak Ridge National Laboratory

Oak Ridge, Tennessee, USA

Full-time

Requisition Id 14592 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive sci

Data Scientist / Senior Machine Learning Engineer

Webilent Technology, Inc.

Texas, USA

Contract, Third Party

Webilent is a leading business technology solutions company. We specialize is providing turn-key project execution as well as employee augmentation services. We strive to be the IT partner of choice for every client we serve. We value the role every individual plays in helping our clients meet their end-goal objectives while maintaining the highest level of commitment to our core values: integrity, expertise and service excellence. We give clients the freedom to reach their goals through a varie

ML Ops Engineer

SSTech LLC

Dallas, Texas, USA

Full-time

Role - ML Ops Engineer Client - Verizon Location : NYC/NJ/Dallas/Columbus OH - 2 to 3 days hybrid Role Overview: We are looking for a hands-on DevOps Engineer with a strong focus on CI/CD pipeline creation and optimization, expertise in Jenkins and GitLab CI, and experience with integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols. The role also involves deploying self-hosted Generative AI tools using Docker and Google Kubernetes Engine (GKE) and supporting s

ML Senior Engineers

Caspex Corporation

Sunnyvale, California, USA

Third Party, Contract

Role: ML Senior Engineers Location: Sunnyvale, CA Duration: 6+ Months Technical Skills Must have: Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.). and cloud-native architectures (Google Cloud Platform and Aruze), monitoring and observability for ML workloadsAdvanced understanding of ML pipeline orchest

Machine Learning Artificial Intelligence Engineer with Big Data and Cloudera

Buxton Consulting

Remote

Contract

Machine Learning Artificial Intelligence Engineer with Big Data and Cloudera Location Fully Remote Must Haves- Strong project experience in Big Data platform with Amazon Web Services and Cloudera Data Platform is must. Strong experience with REST API development using Python frameworks (Django, Flask etc.) is must. Micro Services/Web service development experience using Spring framework is must. 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must. Good project e

AI/ML Security Architect (Senior Manager)

Rishabh Software Pvt. Ltd

Princeton, New Jersey, USA

Full-time, Contract, Third Party

Title: AI/ML Security Architect (Senior Manager) Location: Princeton, NJ (Hybrid support) Duration: FTE The Challenge We are seeking a highly skilled Senior Security Architect with a specialized focus on Information Security within the realms of Artificial Intelligence (AI) and Machine Learning (ML). In this pivotal role, you will ensure that security is deeply integrated into every business or IT initiative involving AI and ML technologies. As a key member of our Global Information Security

Senior Data Scientist - ML

CVS Health

Remote or Wellesley, Massachusetts, USA

Full-time

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all w

ML Product Configuration Analyst

Apex Systems

Dearborn, Michigan, USA

Full-time

Job#: 2057374 Job Description: Position Description: We are seeking a highly analytical and detail-oriented entry-level candidate for our team. This role combines business acumen with technical proficiency, requiring the ability to understand complex business processes and translate them into effective system configurations. You will play a key role in ensuring our systems accurately reflect business needs and operate efficiently. This position focuses heavily on developing new processes with t

Machine Learning Scientist - NLP - Sr. Associate - Machine Learning Center of Excellence

JPMorgan Chase & Co.

Seattle, Washington, USA

Full-time

Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to dev

Machine Learning Scientist - NLP - Sr. Associate - Machine Learning Center of Excellence

JPMorgan Chase & Co.

New York, New York, USA

Full-time

Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to dev

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence

JPMorgan Chase & Co.

Palo Alto, California, USA

Full-time

Job Description Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, a team dedicated to enhancing the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. We harness artificial intelligence and machine learning to support commercial goals, develop new products, and enhance risk management. We're offering opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

New York, New York, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in New York, NY Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2507-152762: $229,801/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary o

Software Engineer (Machine Learning)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Burlingame, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Burlingame, CA Software Engineer (Machine Learning): Lead the development of scalable infrastructure solutions that support the deployment and optimization of AI models for smart glasses. (ref. code REQ-2503-147981: $218,402/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bo

Software Engineer - Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

New York, New York, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in New York, NY Software Engineer - Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2505-151113: $182002/year - $200200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2507-152806: $230,400/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2502-147619: $195,413/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2506-152698: $192,927/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Strong knowledge in App Ads business, delivering revenue growth through e2e ML including advanced machine learning, and developing 0->1 products. (ref. code REQ-2506-152670: $199,170/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. . (ref. code REQ-2507-152830: $264,014/year - $290,180/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala