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Berkeley Heights, New Jersey

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Today

Position : MLOps Engineer Location: Onsite (Berkeley heights, NJ) Duration: Long Term Mode of Interview : Telephonic/Video Job Description: Need at least 10 Plus Years candidates Only. We are seeking a skilled MLOps Engineer with hands-on experience in Azure Databricks, Python, and MLOps best practices. You will be responsible for designing, building, and maintaining scalable ML pipelines and deployment infrastructure to streamline the end-to-end machine learning lifecycle. Required Skills &

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Contract, Third Party

MLOps Engineer

Remote

•

Yesterday

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

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Full-time

Depends on Experience

MLOps Engineer Google Cloud Platform

Remote

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Yesterday

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

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Full-time, Third Party

$80 - $100

MLOps Engineer

Remote

•

Today

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

Full-time

USD 148,764.00 - 165,035.00 per year

Lead MLOps Engineer

Remote or New York

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Today

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

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Third Party

Sr Data Scientist / MLOps Engineer

Remote or Farmers Branch, Texas

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Today

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

Full-time

USD 83,430.00 per year

MLOps Engineer | Google Cloud Platform | Vertex AI | Kubeflow

Remote

•

Yesterday

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

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Full-time, Third Party

$80 - $100

Senior Lead Software Engineer - Python/React/AWS/MLOps

Jersey City, New Jersey

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Today

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer - Python/React/AWS/MLOps at JPMorgan Chase within the Corporate AI/ML Data Platforms team, your role will involve building a suite of products that encompass AI/ML, ModelOps, and Agents ML data development (such as processing and data annotation) for firm-wide ML practitioners. These capabilities are pivotal to the new enterprise-s

Full-time

USD 171,000.00 - 260,000.00 per year

Software Technical Lead, Machine Learning Engineer, MLOps infrastructure

Remote

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Today

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

Full-time

USD 241,300.00 - 306,700.00 per year

GenAI ML/MLOps Engineering Lead (Remote or Hybrid)

Remote or New York, New York

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Today

About the Role: Grade Level (for internal use): 11 About the Role: We are seeking a Lead/Associate Director of ML & MLOps Engineering - GenAI to join our ML team within the Data Science COE at S&P Global focusing on building Generative AI solutions. You will lead the engineering activities for building production grade generative AI solutions, play a pivotal role in implementing our machine learning engineering operations to ensure the seamless deployment, monitoring, and management of our ma

Full-time

USD 108,000.00 - 215,000.00 per year

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

New York, New York

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2d ago

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-e

Full-time

USD 150,000.00 - 215,000.00 per year

Sr Data Scientist- NLP, LLM and GenAI

Remote or New York, New York

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Today

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

Full-time

USD 130,000.00 - 185,000.00 per year

Sr Data Scientist- NLP, LLM and GenAI

New York, New York

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3d ago

Full-time

USD 130,000.00 - 185,000.00 per year

Associate Director of Data Science - RAG, NLP, LLM and GenAI (Hybrid or Remote)

Remote or New York, New York

•

Today

Full-time

USD 150,000.00 - 215,000.00 per year

Senior Director, Engineering-AI Toolkit Team

Remote or San Jose, California

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Today

Description Job Title: Senior Director, Engineering-AI Toolkit Team Location: (San Jose and Seattle Preferred) About Splunk Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as

Full-time

USD 315,000.00 - 364,000.00 per year

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