ML Ops Engineer

Position Title : ML Ops Engineer 4

Complete onsite .

Full-Time role

Shift Timings : 10-7 pm / 11-8 pm / 12-9 pm

Address : Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081.

Job Description :

Roles & Responsibilities :

• Define the long-term vision and strategy for MLOps initiatives : Set the direction for the organization's MLOps, model deployment, and monitoring practices.
• Lead and manage a team of MLOps engineers : Provide technical guidance, mentorship, and career development for team members.
• Identify and explore cutting-edge research areas and technologies : Stay abreast of the latest advancements in MLOps, model serving, and AI operations.
• Drive innovation and the development of novel MLOps solutions : Lead efforts, prototype new approaches, and oversee implementation of advanced MLOps platforms.
• Design and manage scalable ML infrastructure and pipelines on GCP; oversee model deployment (A / B testing, rollouts / rollbacks, auto-scaling), and establish monitoring / observability (performance, drift, KPIs).
• Ensure ML operations meet governance, security, compliance, and disaster recovery standards across the organization.
• Collaborate with executive leadership on strategic decision-making : Align MLOps initiatives with business objectives and organizational priorities.
• Establish and enforce MLOps standards and best practices : Ensure quality, reproducibility, and security of ML systems across the organization.
• Represent the organization in external MLOps communities : Speak at conferences, publish thought leadership, and build partnerships with academia and industry.

Technical Skills :

Must Have Skills :

Skills Required

BigQuery, Gcp, Terraform, Docker, DataFlow, Kubernetes