mlops engineer Jobs in san francisco, ca

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MLOps Engineer

Saama Technologies, LLC

Remote

Full-time

MLOps Engineer Location South San Franciso CA (Hybrid, 3 days/week) (Not remote) Strong understanding of machine learning concepts, algorithms, and best practices.Proven experience in creating, managing, and deploying ML models using core AWS services such as Amazon SageMaker (for model building, training, and deployment), EC2 (for compute instances), S3 (for data storage), and Lambda (for serverless functions).Experience with AWS Textract for document data extraction.Demonstrable experience in

Lead MLOps Engineer

ADDSOURCE

New York, USA

Third Party

What is in it for you? We're seeking an experienced Lead MLOps Engineer to lead the operationalization of our Machine Learning workloads. As a key team member, you'll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads. Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally. This role requires expertise in automating M

MLOps Engineer Google Cloud Platform

Hexacorp

Remote

Full-time, Third Party

We are seeking a skilled MLOps Engineer with hands-on experience in Google Cloud Platform (Google Cloud Platform) to design, build, and manage robust ML pipelines and model deployment frameworks. The ideal candidate will have a solid foundation in both machine learning operations and cloud-native tools, enabling seamless model integration, monitoring, and CI/CD workflows. Key Responsibilities:Design, develop, and manage ML pipelines using Google Cloud Platform tools (Vertex AI, Kubeflow, AI Plat

MLOps Engineer | Google Cloud Platform | Vertex AI | Kubeflow

Hexacorp

Remote

Full-time, Third Party

We are seeking a skilled MLOps Engineer with hands-on experience in Google Cloud Platform (Google Cloud Platform) to design, build, and manage robust ML pipelines and model deployment frameworks. The ideal candidate will have a solid foundation in both machine learning operations and cloud-native tools, enabling seamless model integration, monitoring, and CI/CD workflows. Key Responsibilities: Design, develop, and manage ML pipelines using Google Cloud Platform tools (Vertex AI, Kubeflow, AI Pl

MLOps Engineer

General Dynamics

Remote

Full-time

Basic Qualifications Education Requirements: Bachelor's of Science in a STEM (Science, Technology, Engineering, Mathematics) related field, plus 8 yrs or Master's degree plus 6 yrs. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position Key Responsibilities: Model Deployment: Deploy machine learning solutions into production in diverse environments, ensuring they operate correctly and efficiently.Automation: Use tools to au

Sr Data Scientist / MLOps Engineer

CVS Health

Farmers Branch, Texas, 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

Software Engineer, MLOps, Autonomy

Rivian

Palo Alto, California, USA

Full-time

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it

Software Technical Lead, Machine Learning Engineer, MLOps infrastructure

Cisco Systems, Inc.

Remote

Full-time

Cisco Meraki is revolutionizing the way IT administrators run their infrastructure by providing simple and secure cloud-managed solutions. With a large install base of customers and rich wide-ranging data sets, the potential for data analytics to improve business performance for both our customers and our own business is enormous. About the role The Data Science Infrastructure team is a growing group that works closely with executives and leaders across the company to support the development an

MLOPs Developer

SANS

Remote

Contract, Third Party

Job Title: MLOPs Developer Location: Remote Duration: Long Term Document architecture, workflows, and best practices for knowledge sharing and compliance.Provide technical oversight & guidelines.Implement end-to-end MLOps and LLMOps pipelines using Azure Machine Learning and Azure OpenAI.Design scalable infrastructure for training, deploying, and monitoring ML and LLM models in production.Collaborate with data scientists and engineers to streamline model development, testing, and deployment work

Sr Data Scientist- NLP, LLM and GenAI

S&P Consultants

Remote or New York, New York, USA

Full-time

About the Role: Grade Level (for internal use): 10 Job Description The Role: Sr Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge

Associate Director of Data Science - RAG, NLP, LLM and GenAI

S&P Consultants

Remote or New York, New York, USA

Full-time

About the Role: Grade Level (for internal use): 12 The Role: Associate Director of Data Science - RAG, NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting