mlops

Position : MLOPS with RAY Engineer Location : Austin, TX / Sunnyvale, CA C2C Job Role - MLOPS Engineer (RAY ENGINEER) Objective : MLOPS Engineer with experience in Ray & GPU configuration for engineering & development. ͏ Job Description Technical understanding & proficiency of Ray to operate, monitor, and triage all aspects of our...

PRIORITY 1 Position: MLOPS - Machine Learning Operations Engineer Location: 100% REMOTE Duration: Long term contract on C2C Client: Verizon Targeted Years of Experience: 3-5 yearsThe MLOPS engineer will be responsible for developing and managing the continuous integration and delivery pipeline for machine...

MLOps Engineer  ML Engineer I     Who We Are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world. UST is a mission-driven group of 29,000+...

Role : MLOPS Architect Location : Charlotte NC (Onsite) Rate : $70 Indent : SF_OP_205828-10 Role Overview We are seeking a highly skilled Cortex Real-Time Inference Engineering Lead to design, build, and industrialize our next-generation, low-latency model serving platform. In this role, you will bridge the gap between data science and production...

Priority #1: Deploy batch models built by a client data scientist using SageMaker pipelines & jobs OR step functions/EMR. Priority #2: Implement ML Flow server for the Farmers Enterprise Skills: Must have working experience deploying batch models using AWS SageMaker pipelines, experience with AWS services such as lambda, S3; and training classification...

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Role : MLOPS Engineer Location : Scottsdale AZ (Onsite) Contract : Long Term We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of...

Key Required Skills:Machine Learning, Python, NoSQL and Relational Databases, DevOps, CI/CD, and Cloud Platforms (AWS, Azure) and related ML services.Position Description:Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments.Productionize ML models integrate trained ML models with Production...

Position:: MLOPS Engineer Duration::  Long Term Contract Role:: 100% Remote     Must haves: PYTHON GCP MLOPS Enterprise level Experience Individual Contributor Job Description: Overview The Client is seeking experienced MLOps Engineers to support the productionization, scalability, and operational excellence of enterprise advertising technology...

MLOps Engineer -Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: MLOps Engineer Location:...

Aston is seeking a middle-level MLOps Engineer to develop AI agents and build MLOps infrastructure. Candidates with strong skills in MLOps, cloud services, and Python should apply. In this role, you will be responsible for creating AI agents and platforms, as well as building robust MLOps infrastructure to support machine learning workflows. The focus will...

Job Title: MLOps Engineer Location: 100 percent remote ( USA ) - EST Duration: 4 month contract ( potential for extension ) Visa : / L2/ / GC Need 12+ Years of experienceSkillset : Kubernetes, AKS, Azure cloud, Azure DevOps, Databricks Nice to have : MLOps, ML Infrastructure deploymentsWe are seeking for an experienced ( ML ) Machine Learning Operations...

MLOPS engineer Location- Reading, Pennsylvania, Work from Client location, 5 days a week Looking for a pure MLOps Engineer with hands-on experience in Dataiku (Sage Mager is plus). Responsibilities • Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy...

Overview/ Job Responsibilities Job SummaryWe are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production.The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model...

Job Title: MLOps Engineer Job Description: We are seeking a highly skilled and experienced MLOps Engineer to join our client. As an MLOps Engineer, you will play a crucial role in developing and implementing machine learning operations processes and infrastructure to support our data science initiatives. Responsibilities: Develop and maintain end-to-end...

The Client is seeking experienced MLOps Engineers to support the productionization, scalability, and operational excellence of enterprise advertising technology solutions. These engineers will play a critical role in transforming proven machine learning capabilities into resilient, cost-effective, multi-tenant production platforms. This position focuses on...

Role: MLOps Engineer Location - Remote with occasional travel to Minneapolis Type: Fulltime Job Description We are seeking a talented and motivated MLOps Engineer to join our growing team. In this role, you will be responsible for building, deploying, and maintaining scalable machine learning systems and pipelines. You will collaborate closely with data...

Position OverviewAs the first dedicated ML Ops Engineer, you’ll own the tooling and infrastructure that make our ml engineers wildly productive and ensure we are able to efficiently iterate on ML models, prompts, and datasets and deploy our AI systems into a predictable production environment. You’ll bridge the gap between research and...

Role: ML Ops EngineerDuration: Full timeLocation: RemoteOverviewSeeking an experienced ML Ops Engineer to build and operate scalable ML infrastructure supporting predictive models, NLP, and LLM applications in a healthcare environment. The role focuses on automation, deployment, monitoring, governance, and HIPAA-compliant ML operations.Key...

Play a part in shaping the future of human-computer interaction. As an MLOps Engineer, you will be the backbone of the machine learning infrastructure that powers our speech, audio, and conversational AI teams - ensuring their models are trained on the best possible data.\\nYou will bridge the gap between research, data science, and engineering, owning the...