Mlops engineer
4 weeks ago
Location: Mumbai, India Experience Level: 9 Plus Years Minimum Qualification: Master’s Degree in Computer Science, Engineering, or related field. 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 Dev Ops 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 latency 100 ms, 99.9% uptime, and 80% 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 Lang Chain 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 (Fast API) and Type Script (Nest JS) 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 : • 9–14 years in software engineering, including ≥ 4 years in MLOps or ML infrastructure • Strong expertise in cloud platforms (AWS/GCP/Azure), Kubernetes, Docker, Terraform, Helm, Kubeflow, and MLflow • Experience with inference frameworks (Triton, Tensor Flow Serving, Bento ML, Torch Serve) Familiarity with distributed training, workload schedulers, and GPU-cluster orchestration • Proficiency in Python, Type Script, 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 (Lang Chain, Llama Index) • Multi-tenant security and RBAC • Observability stacks (Prometheus/Grafana, ELK) • CI/CD for Fast API/Nest JS services Preferred : • Master’s/Ph D in CS/AI and certifications such as AWS ML Specialty, Google Cloud Professional ML Engineer, or CNCF CKA/CKAD. • 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 days ago
Mumbai, India X4 Technology Full timeJob Title: MLOps Engineer Job Type: Contract Location: Fully Remote Contract Length: 3-6 Months MLOps 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 data...
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MLOps Engineer
4 weeks ago
Mumbai, India Yotta Data Services Private Limited Full timeLocation: Mumbai, IndiaExperience Level: 9 Plus YearsMinimum Qualification: Master’s Degree in Computer Science, Engineering, or related field.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...
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MLOPS Engineer
4 days ago
Mumbai, Maharashtra, India Changeleaders Consulting Full time ₹ 2,50,000 - ₹ 12,00,000 per year5 years of experience in MLOps and building ML pipelines Deep understanding of the MLOps lifecycle and automation of ML workflows Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow
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Lead MLOps Engineer
2 days ago
Mumbai, India Zyoin Group Full timePosition : Lead MLOps : 9+ : Mumbai, the Role :We are looking for a Lead MLOps Engineer who will lead and support the end-to-end deployment, monitoring, and optimization of machine learning and data-driven applications across cloud platforms. You will collaborate with data scientists, engineers, and business stakeholders to ensure scalable, secure, and...
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MLOPS Engineer
2 weeks ago
Mumbai, Maharashtra, India Mindspace Software Technologies Pvt. Ltd. Full time ₹ 8,00,000 - ₹ 18,00,000 per yearJob Title: MLOPS EngineerEssential Experience:Minimum 2 years' experience in a job profile similar to the one detailed below.1. Experience and Strong understanding of machine learning principles and model lifecycle management.2. Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow,...
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MLOps Engineer
2 days ago
Navi Mumbai, Maharashtra, India Bolt-on Global Solutions Pvt Ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per yearRequirement : MLOps EngineerTechnology : MLOps, LLM, Machine Learning, Docker, KubernetesExperience : 5+ yearsWork Location : Western Suburb, MumbaiClient Location : Navi MumbaiCANDIDATES FROM / IN Western Suburb /MUMBAI LOCATION SHALL ONLY APPLY. This role is open exclusively to candidates based in Western Suburb/ MUMBAI. Applications from candidates...
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Senior Engineer MLops
3 weeks ago
Navi Mumbai, Mumbai City, Mumbai, India Robosoft Technologies Full timeJob Description As an MLOps Engineer, you will be responsible for building and optimizing our machine learning infrastructure. You will leverage AWS services, containerization, and automation to streamline the deployment and monitoring of ML models. Your expertise in MLOps best practices, combined with your experience in managing large ML operations, will...
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Ml/mlops engineer
4 weeks ago
Mumbai, India InfoBeans Full timeAbout the Job: Job Title: ML Engineer / MLOps Engineer Skills : Data Pipelines & Engineering, Model Deployment at Scale, Python with ML Frameworks (Tensor Flow/Py Torch), Advanced ML Algorithms (Decision Trees, Deep Learning, SVM, Clustering, Reinforcement Learning). Experience Required : 5-8 Years Location: Chennai, Mumbai, Indore Notice Period: ...
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MLOps Engineer
4 weeks ago
Navi Mumbai, India Bolt-on Global Solutions Pvt Ltd. Full timeRequirement : MLOps EngineerTechnology : MLOps, LLM, Machine Learning, Docker, KubernetesExperience : 5+ yearsWork Location : Western Suburb, MumbaiClient Location : Navi MumbaiCANDIDATES FROM / IN Western Suburb /MUMBAI LOCATION SHALL ONLY APPLY. This role is open exclusively to candidates based in Western Suburb/ MUMBAI. Applications from candidates...
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MLOps Engineer
2 weeks ago
Navi Mumbai, Maharashtra, India VOPAIS Full time ₹ 8,00,000 - ₹ 24,00,000 per yearCompany DescriptionVOPAIS architects transformative digital solutions that bridge the gap between advanced technology and human experience. We create intuitive applications that solve complex challenges and bring smiles to users' faces. Our company values integrity, transparency, and transformation, offering premium team deployment solutions to seamlessly...
