Sr. ML Ops Platform Engineer
3 weeks ago
We’re Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients) Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune) Experience: 7+ Years Domain: AI / ML Infrastructure & Automation About the Company We’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team. About the Role You’ll be responsible for architecting, automating, and optimizing large-scale Data & ML pipelines on AWS, while ensuring performance, scalability, and reliability across the infrastructure. Responsibilities Build and maintain systems using DevOps & LLM Ops tools (Kubernetes, Docker, Terraform, AWS, Python). Architect and implement AWS-based scalable infrastructure (Lambda, EC2, Docker, Networking, Monitoring, etc.). Design and automate Data & ML pipelines with CI/CD and deployment best practices. Implement observability solutions using Prometheus, Loki, Grafana, or Datadog. Conduct POCs for new solutions and continuously improve existing architectures. Collaborate with Product, Data, and Executive teams to address infrastructure and data challenges. Drive code reviews and mentor junior engineers. Qualifications Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field. 5–7+ years of experience in AI/ML development or production-level MLOps systems Prior experience in AI-first companies or open-source ML contributions is a plus Required Skills 7+ years of experience in Software / DevOps Engineering with strong Python, SQL, and Pandas skill. Hands-on experience with AWS (Lambda, EC2, EMR, S3, Glue, Athena, RDS, IAM, Batch, Sagemaker, Airflow) Expertise in Terraform, Kubernetes, Docker, GitHub Actions, Jenkins, or CodePipeline Experience in CI/CD pipelines and working with API. Familiarity with Relational & NoSQL databases (Snowflake preferred) Exposure to Kubeflow or MLflow is an added advantage. Note: Looking for Immediate Joiners only
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ML Ops Engineer
1 week ago
bangalore, India SatSure Full timeWe are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.About SatSure:SatSure is a deep tech, decision Intelligence company that works primarily at...
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ML Ops Engineer
6 days ago
bangalore, India SatSure Full timeWe are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.About SatSure:SatSure is a deep tech, decision Intelligence company that works primarily at...
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ML Ops Engineer
1 week ago
bangalore district, India SatSure Full timeWe are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation. About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at...
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ML Ops
4 days ago
bangalore, India EXL Full timePrior ~2+ years of experience working with ML Ops & DSResponsibilities & Skills:Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools.Containerize and orchestrate workloads with Docker & Kubernetes;...
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ML Ops
3 weeks ago
bangalore, India EXL Full timePrior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills: Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) . Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with Docker &...
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ML Ops
20 hours ago
bangalore, India EXL Full timePrior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) . Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with Docker &...
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SRE ML Ops
6 days ago
bangalore, India People Prime Worldwide Full timeSRE ML Ops Role – Primarily development-focused with exposure to DevOps practices. Involves managing ML pipelines using frameworks like PyTorch and TensorFlow, implementing CI/CD deployments, and contributing to infrastructure within the CDT group, which handles both infra management and development.Pipeline management using ML frameworkexposure on SRE,...
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Sr. ML/Ops Developer
2 weeks ago
bangalore, India GarudaUAV Full timeTo build and maintain robust ML pipelines and scalable deployment architectures for satellite, drone, LiDAR and temporal-based AI models, supporting data versioning, training workflows, and CI/CD for model delivery in a production environment Develop and manage end-to-end ML pipelines for imagery-based AI solutions. Handle preprocessing and versioning of...
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ML Ops Platform Engineer
4 days ago
bangalore, India Amicon Hub Services Full timeWHAT YOU’LL NEED:· 7+ years of total experience in a complex, technical environment. Experience with developing production-grade code in Python, SQL & Pandas. · Experience with 3 or more of the following AWS tools: Lambda, EC2, EMR, S3, Glue, Athena, RDS, Networking, IAM, Batch processing, Sagemaker, Airflow · Experience or self-study in Terraform and,...
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Sr. ML Engineer
3 weeks ago
bangalore, India UNPlus Solutions Full timeAbout us: bolt is the leading insurance exchange for the P&C insurance industry, uniting distributors, and providers on a single platform to transform the way insurance is bought and sold. The result is the world’s biggest exchange, working with two-thirds of America’s leading carriers and connecting more people with ways to protect the things they...