Current jobs related to MLOps Engineer - Mumbai - Yotta Data Services Private Limited

  • MLOps Engineer

    3 days ago

    Mumbai, India X4 Technology Full time

    Job 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...

  • Mlops engineer

    4 weeks ago

    Mumbai, India Yotta Data Services Private Limited Full time

    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...

  • MLOps Engineer

    4 weeks ago

    Mumbai, India Yotta Data Services Private Limited Full time

    Location: 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...

  • MLOPS Engineer

    4 days ago

    Mumbai, Maharashtra, India Changeleaders Consulting Full time ₹ 2,50,000 - ₹ 12,00,000 per year

    5 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

  • Lead MLOps Engineer

    2 days ago

    Mumbai, India Zyoin Group Full time

    Position : 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...

  • MLOPS Engineer

    2 weeks ago

    Mumbai, Maharashtra, India Mindspace Software Technologies Pvt. Ltd. Full time ₹ 8,00,000 - ₹ 18,00,000 per year

    Job 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,...

  • MLOps Engineer

    2 days ago

    Navi Mumbai, Maharashtra, India Bolt-on Global Solutions Pvt Ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

    Requirement : 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...

  • Senior Engineer MLops

    3 weeks ago

    Navi Mumbai, Mumbai City, Mumbai, India Robosoft Technologies Full time

    Job 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...

  • Ml/mlops engineer

    4 weeks ago

    Mumbai, India InfoBeans Full time

    About 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: ...

  • MLOps Engineer

    4 weeks ago

    Navi Mumbai, India Bolt-on Global Solutions Pvt Ltd. Full time

    Requirement : 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...

MLOps Engineer

4 weeks ago

Mumbai, India Yotta Data Services Private Limited Full time

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 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 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 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 :

• 9–14 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, 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 services


Preferred :

• Master’s/PhD 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.