Machine Learning Specialist
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Job Description
ML Ops Engineer Specialist – Generative AI
Location: Mumbai, Pune, Bangalore, Hyderabad, Gurgaon
We are seeking an MLOps Engineer Specialist specializing in Generative AI to deploy, operate, and scale AI solutions across global media and marketing platforms. The role focuses on production ML/GenAI systems, ensuring reliability, scalability, monitoring, and governance across the full model lifecycle.
Key Responsibilities
- Deploy and scale LLM and GenAI models in production (batch and real-time).
- Build and maintain ML CI/CD and continuous training pipelines.
- Monitor model performance, drift, cost, and system health.
- Optimize cloud infrastructure, GPU/CPU usage, latency, and availability.
- Ensure model reproducibility, versioning, and governance.
- Collaborate with Data and ML Engineering teams to support end-to-end AI delivery.
Required Skills
- 7-9 years of hands-on expertise with Docker and Kubernetes
- Strong experience with MLOps and production ML systems
- Experience with cloud ML platforms (Azure ML or Vertex AI)
- Proven experience building CI/CD pipelines for ML workloads
- Monitoring and observability using tools like Prometheus/Grafana or ELK
- Proficiency in Python, working knowledge of Linux systems.
Nice to Have
- Experience optimizing GPU-based AI workloads.
- Exposure to model governance, registries, and drift detection.
Why Join us
- Operate enterprise-scale GenAI platforms for global media brands.
- High-impact role within a growing Media Tech Global Capability Center.
- Work closely with global AI, data, and product teams.
Skills
PythonCloud InfrastructureMl OpsAiMlMachine LearningIf 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.
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