MLOps Engineer
6 hours 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 C5i Full timeJob descriptionWe are looking for an experienced MLOps Engineer to join our team in Bengaluru. The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models. This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.Job...
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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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MLOps Engineer
2 weeks ago
New Delhi, India Persistent Systems Full timeAbout Position:We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models. This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption.Role: MLOps Engineer Location: All...
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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 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...
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MLOps Engineer
3 weeks ago
New Delhi, India X4 Technology Full timeJob Title: MLOps EngineerJob Type: ContractLocation: Fully RemoteContract Length: 3-6 MonthsMLOps Engineer - Role & Responsibilities- Design, deploy and manage scalable & secure cloud infrastructure - Apply least privilege across cloud platforms (Azure, RBAC, AWS IAM) - Enable audit logging controls appropriate for GenAI/ML workloads - Implement CI/CD for...
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MLOPs
8 hours 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
3 weeks ago
New Delhi, India Recro Full timeRole OverviewWe are looking for an experienced MLOps Lead with deep expertise in Azure and AWS cloud ecosystems, who can design, deploy, and manage scalable AI/ML infrastructure. The ideal candidate should bring a strong background in cloud governance, GenAI tooling, automation, and CI/CD pipelines, with hands-on experience across modern MLOps frameworks.Key...
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MLOps Engineer
1 week ago
Delhi, Delhi, India Evoort Solutions Full time ₹ 9,00,000 - ₹ 12,00,000 per yearWe are seeking a highly skilled MLOps Engineer with experience in Healthcare domain to join our teamThe Engineer will be responsible for ensuring the accuracy, performance, and stability of ML models- This role includes continuous monitoring, maintenance, and improvement of ML pipelines, Docker images, and data synchronization processes- Key Responsibilities...
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MLOps Engineer
3 weeks ago
Delhi Division, India HACKELITE PRIVATE LIMITED Full timeJob Description - MLOps Engineer (46 Years)We are seeking an experienced MLOps Engineer with strong expertise in LLM deployment, optimization, and scalable model serving. The ideal candidate will work at the intersection of AI/ML engineering, DevOps, and cloud infrastructure, ensuring seamless integration of large-scale AI models into...
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MLOps Engineer
4 weeks ago
New Delhi, India C5i Full timeJob descriptionWe are looking for an experiencedMLOps Engineerto join our team in Bengaluru. The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models. This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.Job...
