MLOps Engineer
3 weeks ago
About the Role: We’re looking for a strategic Senior MLOps Engineer to lead the end-to-end design, implementation, and scaling of our AI infrastructure. You’ll partner with researchers, product teams, and DevOps to turn prototypes into production services that meet strict SLAs for latency, reliability, and cost efficiency.Responsibilities: •Core MLOps Pipelines : Design and implement scalable ML pipelines (training, evaluation, deployment) for LLMs, CV, and multimodal models . •Model Serving & CI/CD : Lead efforts in model serving, versioning, automated CI/CD, and real-time monitoring of AI workflows . •Inference-as-a-Service : Build and optimize GPU-backed serving infrastructure targeting p99 latency80% GPU utilization . •Governance & Drift Detection : Drive initiatives on model governance, automated drift detection (≤10% false positives), and data-management best practices . •Vector Search & Agent Orchestration : Integrate vector databases (Qdrant, Pinecone) for low-latency semantic retrieval, and build agentic workflows using LangChain or similar frameworks. •Enterprise Multi-Tenancy : Architect RBAC-driven, isolated ML services to securely serve 100–500+ organizations. Observability & Logging : Design Prometheus/Grafana dashboards, ELK/Fluentd logging pipelines, and alerting for all ML workloads. •CI/CD for Inference APIs : Maintain CI/CD pipelines for Python (FastAPI) and TypeScript (NestJS) inference services. •Metrics & Cost Optimization : Define and track SLAs/SLOs, optimize cloud spend by ≥ 20% year-over-year, and ensure GPU clusters operate at > 80% utilization. •Cross-Functional Leadership : Partner with AI researchers, product managers, and legal to align MLOps standards with compliance and roadmap goals. •Mentorship & Community : Mentor junior engineers, run quarterly brown-bags, own onboarding docs (upskill 5+ engineers/quarter), and publish ≥ 1 open-source contribution or talk annually.Requirements : • 9–15 years in software engineering, including≥ 4 yearsin MLOps or ML infrastructure • Strong expertise in cloud platforms (AWS/GCP/Azure), Kubernetes, Docker, Terraform, Helm, Kubeflow, and MLflow • Experience with inference frameworks (Triton, TensorFlow Serving, BentoML, TorchServe) Familiarity with distributed training, workload schedulers, and GPU-cluster orchestration • Proficiency in Python, TypeScript, and infrastructure-as-code (Terraform, Helm, etc.) • Proven track record building reliable, scalable ML systems in production.Plus These Critical Skills: • Vector DB integration (Qdrant, Pinecone) • Agent orchestration (LangChain, LlamaIndex) • Multi-tenant security and RBAC • Observability stacks (Prometheus/Grafana, ELK) • CI/CD for FastAPI/NestJS servicesMinimum Qualification:Bachelor's or Master's Degree in Computer Science, Engineering, or a related field.Preferred : •Prior experience at AI-focused startups or enterprises scaling ML for 100–500 orgs. • Understanding of low-latency streaming inference or agent-based LLM systems. • Excellent written and verbal communication, and a proven ability to drive consensus across functions.
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MLOps Engineer
3 weeks ago
New Delhi, India Meril Full timeMLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat)We’re looking for a passionate and skilled MLOps Engineer to join our AI & Machine Learning Division at Meril Life Sciences, where innovation meets healthcare.If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems...
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Senior MLOps Engineer
3 weeks ago
New Delhi, India Atomic North Full timeHiring: MLOps Engineer Experience:5–8 Years (with at least 2+ years in MLOps or ML deployment roles) Location:Bengaluru, Bhopal, Gurgaon, Hyderabad, Jaipur, Mumbai, Pune , ChennaiAbout the Role We are seeking askilled MLOps Engineerto operationalize and scale machine learning solutions on AWS. The ideal candidate will have strong expertise in cloud...
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MLOps Engineer
3 weeks ago
New Delhi, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model Governance Expert in Azure Databricks, Azure ML, Unity Catalog Hands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, Docker Experience in developing standards and practices for...
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MLOps Engineer
2 weeks ago
New Delhi, India Capgemini Full timeResponsibilities- Experience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model Governance - Expert in Azure Databricks, Azure ML, Unity Catalog - Hands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, Docker - Experience in developing standards and practices...
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MLOps Engineer
5 days ago
New Delhi, India Meril Full timeMLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat)We’re looking for a passionate and skilledMLOps Engineerto join our AI & Machine Learning Division atMeril Life Sciences, where innovation meets healthcare. If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems in...
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MLOPs
3 weeks ago
New Delhi, India Meril Full timeJob Title:MLOps EngineerExperience:Minimum 3 Years Location:Chennai Employment Type:Full-time About the Role: We are seeking an experienced MLOps Engineer with a focus on healthcare AI to join our innovative team. This role involves designing, implementing, and maintaining scalable MLOps pipelines for deploying deep learning models, including very deep...
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MLOps Engineer
2 days ago
New Delhi, India EROS GenAI Full timeRole Overview We are looking for an experienced MLOps Engineer to build and scale our AI infrastructure across Kubernetes, cloud-native environments, and serverless GPU platforms. You will own the end-to-end operational lifecycle of machine learning models—from training to deployment, monitoring, optimization, and automated retraining.Key Roles • Design...
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MLOps Engineer
2 hours ago
New Delhi, India EROS GenAI Full timeRole OverviewWe are looking for an experienced MLOps Engineer to build and scale our AI infrastructure across Kubernetes, cloud-native environments, and serverless GPU platforms. You will own the end-to-end operational lifecycle of machine learning models—from training to deployment, monitoring, optimization, and automated retraining.Key Roles• Design...
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SRE & MLOps Engineer
3 days ago
New Delhi, India apna Full timeAbout Blue Machines Blue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI, Healthcare, HRTech, and Global Enterprises. Role: SRE & MLOps Engineer (3–6 Years Experience) Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents. 2....
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SRE & MLOps Engineer
2 days ago
New Delhi, India apna Full timeAbout Blue MachinesBlue Machines powers large-scale, real-time Voice AI and Agentic Workflows across BFSI, Healthcare, HRTech, and Global Enterprises. Role: SRE & MLOps Engineer (3–6 Years Experience) Location: Bangalore (Hybrid)What You Will Own1. Platform Uptime & Reliability - Maintain 99.9%+ uptime. - Monitor and optimize latency for voice agents. 2....
