mlops engineer Jobs

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Software Engineer MLOps/Databricks

Sunrise Systems, Inc.

Remote

Contract

Our client, a leading apparel and sporting goods manufacturing company, is looking for a Software Engineer MLOps/Databricks. This is for an initial duration of 15 months and is a REMOTE job. Must be able to work PST Hours Job Type: Contract (Candidates must be able to work on W2 without VISA sponsorship) Must have: Strong Python skills a must What you ll do Build cloud infrastructure for machine learning following the MLOps modelDesign and implement public and internal APIsDesign event and stre

Senior System Software Engineer - MLOps

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

We are now looking for a Senior System Software Engineer to work on Triton Inference Server! NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building tools and software to make design and deployment of new deep learn

ML Ops engineer

Cyma Systems Inc

Sunnyvale, California, USA

Third Party, Contract

ML Ops engineer Sunnyvale, CA(Onsite) 6+ months Required 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 workloads Advanced understanding of ML pipeline orchestration tools like K

AI Engineer with MLOps

eCom Solutions, Inc.

Remote

Contract

Job Title: AI Engineer with MLOps and Full Stack Experience Location: Remote Duration: Long Term Pay Rate: BOE Job Description: We are seeking a highly skilled AI Engineer with a robust background in full stack development to join our dynamic team. The ideal candidate will have a proven track record in developing and deploying MLOps platforms that enable real-time AI and advanced analytics, ideally on-premises. This role involves designing, implementing, and maintaining the MLOps platform, en

Lead MLOps Engineer -Dallas TX (onsite Role)

InfoVision, Inc.

Dallas, Texas, USA

Contract

Hi, Please review the below job requirement and let me know if you are good to submit with the below details filled and your latest resume ASAP. Job Title: Lead MLOps Engineer Location: Dallas TX (onsite Role) Duration: 12+ Months Responsibilities: Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.Configure and manage Azure cloud resources to support machine learn

Machine Learning Engineer

AbleForce

Cary, North Carolina, USA

Full-time

Please, no third parties. Permanent residents only. This is a direct-hire or contract-to-hire opportunity. Main Duties & Responsibilities: - Design, construct, and fine-tune machine learning models using Python, Nvidia frameworks, and other relevant technologies to tackle diverse challenges such as risk evaluation and customer profiling. - Apply advanced techniques in feature engineering, hyperparameter tuning, and performance optimization to enhance model effectiveness. - Work alongside the tea

Data Scientist - Palantir - Onsite

Acunor Infotech

Jersey City, New Jersey, USA

Third Party, Contract

Job Title: Data Scientist Palantir (GenAI MLOps Engineer) Location: Jersey City, NJ (onsite) Experience: 15+ years Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field. Strong hands-on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis. Proven experience in MLOps or similar roles involving machine learning and cloud operations. Strong knowledg

Senior ML Ops Engineer - Artificial Intelligence Group

Bloomberg L.P.

New York, New York, USA

Full-time

Description & Requirements Bloomberg's Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the

Data scientist + Gen AI for L4/L5/L6

HMG America

US

Full-time, Third Party, Contract

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data scientist + Gen AI for L4/L5/L6 in USA. Below is the detailed job description. Title: Data scientist + Gen AI for L4/L5/L6 Location: Remote with travel within USA Job Description: Data Science + Gen AI Lead/Architect: ML Engineering. Model Evaluati

Sr. Site Reliability Engineer, Machine Learning Operations, Infrastructure

Tesla Motors

Austin, Texas, USA

Full-time

Our team manages multiple functions across Tesla that includes Devops, MLOps, Cloud Infrastructure (AWS, Azure, Google Cloud Platform), and factory site reliability. Continued development and automation of deployment, monitoring, self-healing and alerting processes is imperative to the success of our engineering groups. As a Site Reliability Engineer, you will be responsible for maintaining and improving our platform to ensure our cross functional teams have the necessary tools and resources to

.NET Developer / MLOps / Remote

Jobot

US

Full-time

Looking for a .NET Developer to join a growing team at an IoT energy company! This Jobot Job is hosted by: Sydney Weaver Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $40 - $50 per hour A bit about us: A globally recognized fintech powerhouse, known for revolutionizing data-driven financial infrastructure, is expanding its focus into IoT and machine learning applications. With significant investment and a reputation for technical excellen

GenAI ML/MLOps Engineering Lead (Remote or Hybrid)

S&P Consultants

Remote or New York, New York, USA

Full-time

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

AI Engineer Sr (Mid-Career) - Classified Deployments / Hybrid

Lockheed Martin Corporation

Remote or King of Prussia, Pennsylvania, USA

Full-time

Job Description When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate! Today's challenges to global security aren't just changing - they're accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far re

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

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