Browse Jobs
Explore open roles across India.Explore active software roles. Sign up to apply and get AI match scores.
Top MatchesTop Job Matches
Loading jobs…
Lead Applications Developer - MLOps
UPS
Chennai•On-site•5-8 Yrs•4 days ago
Job description
Overview
Before you apply to a job, select your language preference from the options available at the top right of this page.
Responsibilities
- Serve as the lead owner of IBM watsonx and Google Vertex AI platforms, overseeing configuration, governance, and operational maturity.
- Drive platform onboarding strategy, enablement, and hands-on support across data science, engineering, and analytics teams.
- Standardize reusable frameworks, templates, and infrastructure patterns for both platforms to accelerate project delivery.
- Architect and manage enterprise-wide CI/CD and MLOps pipelines for:
- Model training, tuning, evaluation, and deployment
- Data ingestion, transformation, and streaming
- Infrastructure provisioning and teardown (IaC)
- Build and maintain reusable templates for AI applications, workflows, and serving endpoints in IBM watsonx.ai and Vertex AI.
- Design and operationalize pipelines for Agentic AI systems using LLMs, orchestration agents, and decision engines.
- Integrate intelligent agent workflows with platform capabilities and monitor lifecycle behavior and governance adherence.
- Implement and operationalize AI governance frameworks using IBM watsonx.governance.
- Define model approval workflows, track metadata, enforce responsible AI policies, and ensure transparency, bias detection, and explainability.
- Collaborate with legal, compliance, and information security teams to embed AI governance across all AI/ML systems.
- Integrate DevSecOps practices into pipelines—automating vulnerability scans, access policies, and secrets management.
- Embed security compliance and quality gates into all CI/CD workflows across AI and application domains.
- Provide architectural guidance to BI teams using Power BI and Looker.
- Oversee data modeling, semantic layer standardization, and connectivity to enterprise data lakes and warehouses.
- Lead and mentor a cross-functional team of AI platform engineers, MLOps practitioners, BI analysts, and DevSecOps engineers.
- Define goals, delivery milestones, documentation standards, and best practices for scalable operations.
Qualifications
- 8+ years in cloud engineering, MLOps, or platform leadership roles.
- 3+ years leading enterprise platform delivery and infrastructure automation.
- Proven experience managing IBM watsonx and Vertex AI in production environments.
- Hands-on delivery of secure, automated pipelines using Terraform, GitOps, and containerized workflows.
- Familiarity with BI tools (Power BI, Looker) and semantic modeling techniques.
- Platforms: IBM watsonx.ai, watsonx.governance, Vertex AI, Azure ML
- Automation: Terraform, Ansible, GitHub Actions, GitLab CI, Azure DevOps
- Languages: Python, Bash, YAML
- Containers: Docker, Kubernetes
- ML Tools: MLflow, TFX, or similar
- Governance: Bias detection, metadata tracking, model lineage, risk management
- Familiarity with NIST, EU AI Act, or internal model risk governance frameworks
- Prior experience deploying internal platform-as-a-service offerings for AI/ML
Nice to have
- Certifications: GCP, IBM, or Azure AI/MLOps certifications
Education
- Bachelor’s or master’s in computer science, Engineering, or related technical field.