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TE Connectivity · India

# LEAD DATA SCIENCE (ML Ops)

India Manager or lead Data & Analytics 

Listed on TE Connectivity’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.
[Apply on TE Connectivity’s careers site →](https://careers.te.com/job/Bangalore-LEAD-DATA-SCIENCE-%28ML-Ops%29-KA-560076/1439419900/)

[OpenNash Jobs](https://jobs.opennash.com/) / [TE Connectivity](https://jobs.opennash.com/companies/te-connectivity/) / LEAD DATA SCIENCE (ML Ops)

## Job description

### Job Overview

Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way.

### Job Responsibilities
- Architect and evolve the ML platform on Databricks (Unity Catalog, MLflow, Feature Store, Model Serving, Workflows) integrated with AWS services
- Define and enforce standards for CI/CD, testing, model promotion, and reproducibility across teams
- Build automated pipelines for training, validation, deployment, and retraining
- Implement monitoring for model performance, data drift, latency, and cost (Lakehouse Monitoring, CloudWatch, Prometheus/Grafana, or similar)

### Own governance
- model lineage, access control, audit trails, and compliance with data and regulatory requirements
- Manage compute and cost optimization (cluster policies, GPU usage, serving autoscaling)
- Mentor engineers, run design and code reviews, and drive incident response and postmortems
- Evaluate and introduce new tooling where it earns its place

### Required Skills

Databricks
- Production experience with MLflow (tracking, registry, model serving), Unity Catalog, Delta Lake, and Databricks Workflows/Jobs
- Databricks Asset Bundles or Terraform provider for workspace and job deployment
- Spark/PySpark for scalable data and feature pipelines
- Cluster configuration, policies, and performance tuning AWS

### Core services
- S3, IAM, VPC, EC2, ECR, Lambda, CloudWatch, Secrets Manager, KMS
- Databricks-on-AWS networking and security (PrivateLink, cross-account roles, workspace setup)
- Familiarity with SageMaker, EKS, or API Gateway as complements to Databricks serving

### Engineering and DevOps
- Strong Python; clean, tested, production-grade code
- Infrastructure as Code (Terraform strongly preferred)
- CI/CD (GitHub Actions, GitLab CI, Jenkins, or Azure DevOps)
- Docker; Kubernetes is a must MLOps practices
- Batch and real-time inference patterns
- Drift detection, A/B and shadow deployment, rollback strategies
- Experiment tracking, model versioning, and reproducibility

### LLMOps on Databricks
- Mosaic AI, Vector Search, RAG pipelines, evaluation and guardrails
- Feature store design and streaming (Structured Streaming, Must have: Kafka/Kinesis)
- Databricks or AWS certifications (ML Professional, Solutions Architect)
- FinOps experience and regulated-industry or data-residency exposure

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: Under a day
- Location: India[Apply on TE Connectivity’s careers site →](https://careers.te.com/job/Bangalore-LEAD-DATA-SCIENCE-%28ML-Ops%29-KA-560076/1439419900/)

## More jobs at TE Connectivity

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### [Data Architect](https://jobs.opennash.com/companies/te-connectivity/jobs/040053abc38a9632ba22/)

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### [Data Scientist I](https://jobs.opennash.com/companies/te-connectivity/jobs/2f6a8fdd5d9463a614bd/)

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### [Procurement Digital & Data Program Delivery Lead](https://jobs.opennash.com/companies/te-connectivity/jobs/7066b568c8dba5f87b01/)

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### [SR Business Intelligence Analyst](https://jobs.opennash.com/companies/te-connectivity/jobs/33dc86afdfb98f6c719b/)

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