Principal MLOPs Engineer United States - Remote / United States - San Antonio Full - Time About the Role: We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial.

IDR is seeking an MLOps Engineer to join one of our top clients in the Healthtech-startup space (fully remote). If you are looking for an opportunity to join a large organization and work within an ever-growing team-oriented culture, please apply today! Position Overview: We are looking for an experienced MLOps Engineer to support the development and scaling of ML infrastructure at a cutting-edge, AI-focused startup. This role will focus on automating, monitoring, and optimizing machine learning

Hi, I hope you're doing well! Please look at the requirements below, let us know of your interest, and send us your updated resume. Role: Principal MLOPs Engineer Location: Remote Duration: Fulltime Must have: Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.Proficiency and recent experience in Java is required (Must have)In-depth understanding of LLM architectures, parameter scaling, and deployment trade-of

Role: Principal MLOps Engineer Location: USA, Canada (Remote) Duration: Full-Time We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position cal

Location: Atlanta, GA (Remote) Duration: 9+ Months, with extension or Possible Contract To Hire after 3 Months If Strong in MLOps, NLP, PySpark, ML Modelling and Optimization on AWS then will consider without Gov Cloud experience. Standard Job Description: Bachelor's degree in computer science, Engineering, Applied Mathematics or related field. 4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments. Overall, 8-10 years of solid experience in the a

Details Department: Ascension Data Science InstituteSchedule: Full time, 8 hour day shift, Monday - FridayLocation: RemoteBenefits Paid time off (PTO) Various health insurance options & wellness plans Retirement benefits including employer match plans Long-term & short-term disability Employee assistance programs (EAP) Parental leave & adoption assistance Tuition reimbursement Ways to give back to your community Benefit options and eligibility vary by position. Compensation varies based on fa

Job Title: MLOps Support Engineer Location: Remote Duration: Long term contract Job Description: NOTE: Need candidates with 7+ years of total experience in AWS and 3+ in Sagemaker as part of MLops.Experience must be in current project with long running project experience.Job Duties: Deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations Minimum Skills Required: MLOps with the following background: AWS SageMaker and B

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

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

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

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

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

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