Machine Learning Ops Engineer

NMS Consultant
Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
3-5 years
Mumbai, Maharashtra
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 21 Oct 2026
Posted: 1 month ago
Let Jobaaj One apply for you

An AI agent that applies to roles like this on employers' own sites. 25 applications free, no card needed.

Job Description
Similar Jobs
Please verify your account first! Send OTP

Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

  • Job Summary
  • We are seeking a skilled and detail-oriented MLOps Engineer with 3-4 years of experience to drive
  • the deployment, monitoring, and operational excellence of AI agents and machine learning models
  • within enterprise environments. The ideal candidate will be responsible for building robust CI/CD
  • pipelines for AI systems, optimizing GPU workloads, managing hybrid infrastructure (on-premises
  • and cloud), and ensuring performance, security, and compliance — particularly within a regulated
  • pharma environment.
  • This role requires strong experience in productionizing ML/GenAI solutions and ensuring scalability,
  • reliability, and compliance of AI systems handling sensitive data.
  • Key Responsibilities
  • 1. Model & AI Agent Deployment
  •  Own end-to-end deployment of ML models and AI agents into production environments.
  •  Manage model versioning, rollback strategies, and lifecycle management.
  •  Ensure high availability, scalability, and reliability of deployed systems.
  • 2. CI/CD for AI Systems
  •  Design and implement CI/CD pipelines tailored for ML and GenAI workflows.
  •  Automate model training, testing, validation, and deployment processes.
  •  Integrate model testing frameworks, performance checks, and compliance gates into
  • pipelines.
  •  Enable seamless integration between development, staging, and production environments.
  • 3. Infrastructure & GPU Optimization
  •  Manage and optimize GPU-based workloads for model training and inference.
  •  Monitor and improve compute utilization, cost efficiency, and latency.
  •  Administer and maintain cloud (AWS/Azure/GCP) and/or on-prem infrastructure
  • environments.
  •  Support containerized deployments using Docker and Kubernetes.
  • 4. Performance Monitoring & Observability
  •  Implement infrastructure and model performance monitoring systems.
  •  Track system health, latency, throughput, resource utilization, and failure rates.
  •  Establish alerting, logging, and incident response processes.
  •  Continuously improve system performance and reliability through proactive monitoring.
  • 5. Vector Database & Data Infrastructure Management
  •  Deploy and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma).
  •  Optimize indexing, embedding pipelines, and retrieval performance for GenAI applications.
  •  Ensure high availability and backup strategies for AI data systems.
  • 6. Security, Access Control & Compliance
  •  Implement role-based access control (RBAC) and secure authentication mechanisms.
  •  Ensure infrastructure and AI systems comply with pharma regulatory standards and internal
  • governance policies.
  •  Manage sensitive data securely, including encryption (at rest and in transit).
  •  Support audit readiness and documentation for compliance reviews.
  • Technical Skills & Competencies
  •  Strong programming skills in Python and scripting languages
  •  Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps,
  • etc.)
  •  Experience with Docker, Kubernetes, Helm
  •  Knowledge of ML lifecycle tools (MLflow, Kubeflow, Airflow, etc.)
  •  Experience with GPU optimization and distributed training frameworks
  •  Familiarity with cloud platforms (AWS/Azure/GCP) and hybrid infrastructure
  •  Experience managing vector databases
  •  Knowledge of monitoring tools (Prometheus, Grafana, ELK, Datadog, etc.)
  •  Understanding of data security, encryption, compliance frameworks (GxP, HIPAA preferred)
  • Qualifications
  •  BE in Data Science / Artificial Intelligence / Computer Science or MCA
  •  Certification in CI/CD, Machine Learning, or related DevOps technologies
  •  3–4 years of experience in MLOps / DevOps for ML systems
  •  Experience in the pharmaceutical or regulated industry (preferred)

Skills

Artificial IntelligencePythonData ScienceMachine LearningAiMl

If a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.

Similar Jobs

View all
Bag Logo
Jobaaj
Get jobs like this by email

New Data Science Analytics & Machine Learning roles in Mumbai.

Job Alert
Google hiring for Specific Roles Apply Now!
1 min ago
New Opportunity
Amazon is hiring freshers Apply Now!
5 min ago
Featured Jobs
Microsoft opening 50+ positions Apply Now!
10 min ago

One email a day. Unsubscribe any time.