ml ops

Mandatory Skills: ML OPS JD: We are looking for a skilled MLOps Engineer to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated...

Job#: 3034035 Job Description: Role: ML Ops EngineerDuration: Long-Term ContractLocation: Hybrid - 4 days/week onsiteDescription:This role focuses on building and scaling enterprise-grade ML Ops and data engineering solutions to support connected vehicle data and agentic AI initiatives. The individual will design, implement, and optimize data pipelines and...

ML Ops Engineer to drive the full lifecycle of machine learning solutions—from data exploration and model development to scalable deployment and monitoring. This role bridges the gap between data science model development and production-grade ML Ops Engineering. Key Responsibilities Develop predictive models using structured/unstructured data across 10+...

Job Title : ML Ops Engineer Location : Remote Duration : 6+ months Contract (with possible extension) Job Description: Building the Azure AI Instance: This is the foundational infrastructure work that everything else depends on. The ML Ops Engineer is responsible for designing, provisioning, and maintaining the Azure environment that hosts all AI/ML...

Job Title - ML Ops 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...

ML Ops Engineer RESPONSIBILITIES•     Architect and build a production-grade MLOps platform on Snowflake using Snowpark, Snowflake ML, Model Registry, and Feature Store capabilities.•     Design and operationalize reusable ML pipelines for training, validation, deployment, inference, and monitoring.•     Build MLOps...

Hi, ONLY LOCAL CANDIDATES - FACE TO FACE INTERVIEW MUST Job Title: ML Ops EngineerLocation : Concord, California Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)Develop and maintain ML pipelines using tools like MLflow, Kubeflow, orVertex AI. Thanks & Regards,Preethi SReveille Technologies...

ML Ops Engineer Concord, CA 12 months contract   Job Summary We are seeking an experienced ML Ops Engineer to design, build, and support scalable, secure, and production-ready machine learning platforms across cloud and on-premises environments. The ideal candidate will have strong expertise in MLOps, Kubernetes, cloud platforms, automation, and...

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization?Are you looking to drive cutting edge products that have  a true societal impact?About the team, this team that powers Elsevier’s Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will...

Company OverviewDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including...

Senior AI/ML Ops EngineerAgent Evaluation, Observability & Production ReliabilityAbout the RoleWe are looking for a Senior AI/ML Ops Engineer to own the evaluation and reliability backbone of our AI agent ecosystem. You will design and build a comprehensive evaluation framework from the ground up, then use it to measure, monitor, and continuously improve a...

ML Ops/Production EngineerAbout EntEnt is the intent-aware workspace security platform for securing human and AI-driven work. Built to protect productivity, the new attack surface, Ent understands not just what users and agents do but why, and intervenes at the moment of risk before incidents occur. Where existing tools see events, Ent sees intent, so...

Job Summary We are seeking an experienced ML Ops Engineer to design, build, and support scalable, secure, and production-ready machine learning platforms across cloud and on-premises environments. The ideal candidate will have strong expertise in MLOps, Kubernetes, cloud platforms, automation, and reliability engineering. Required Qualifications 8+ years...

About CorvusEvery physical good spends time in a warehouse, and every warehouse tracks their inventory. Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing forklifts.We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to automatically track inventory, improving worker...

We are Farmers – where ambition meets opportunity.   At Farmers, we’re not just known for unforgettable jingle – we’re a team with a passion for purpose and making a real difference in people’s lives. We deliver peace of mind when it matters most. Our results-driven, high-performance culture thrives on creativity, accountability and bold...

Senior ML Ops EngineerOverviewAs a Senior ML Ops Engineer at Mimecast, you will be a technical leader on the AI Enablement Platform (AIP) team, responsible for ensuring that machine learning models and AI agents are deployed, scaled, observed, and maintained reliably across production environments. The AI Enablement Platform serves billions of requests per...

Zensors is the spatial intelligence platform for the physical world. Our AI platform provides real-time insights—from airport queue times to office utilization—helping organizations make smarter operational decisions. Zensors processes massive streams of video data 24/7 with human-level accuracy. To do this at scale, we rely on cutting-edge optimization...

Strong hands-on experience building and operating cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load Balancers, API Gateway, Lambda/Functions, EKS/AKS, ECS, App Services, Storage, Key Vault/Secrets Manager, and cloud networking.   Deep expertise in AWS and Azure architecture, including multi-account/subscription...

Strong hands-on experience building and operating cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load Balancers, API Gateway, Lambda/Functions, EKS/AKS, ECS, App Services, Storage, Key Vault/Secrets Manager, and cloud networking.   Deep expertise in AWS and Azure architecture, including multi-account/subscription...

Strong hands-on experience building and operating cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load Balancers, API Gateway, Lambda/Functions, EKS/AKS, ECS, App Services, Storage, Key Vault/Secrets Manager, and cloud networking.   Deep expertise in AWS and Azure architecture, including multi-account/subscription...