SeniorLead Data Scientist MLOPS

Gurgaon - India

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

Srijan a Material company is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.Be a part of an Awesome Tribe

Job Title: Senior/Lead ML Engineer / Data Scientist (Regression & MLOps)

Experience: 5 years
Employment Type: Full-time

About the Role

Were looking for a hands-on Senior/Lead ML Engineer / Data Scientist with a strong foundation in supervised learning (especially regression) and mathematical optimization who can build deploy and sustain production ML solutions. You will own models end-to-endfrom problem framing and feature engineering to containerized deployment (Docker/Kubernetes) MLOps automation and production monitoring in a cloud environment (Azure/AWS/GCP).

What Youll Do

Solution Building

Frame business problems as regression/forecasting tasks; design robust baselines and iterate to production-grade models.
Engineer features select algorithms (e.g. Linear/GLM Tree-based methods GBMs) and run disciplined experimentation and hyper-parameter tuning.
Apply optimization techniques (LP/MIP/heuristics/simulation) to turn predictions into decisions (pricing allocation scheduling routing etc.).

Deploying & Sustaining

Package models as services (Docker) orchestrate on Kubernetes (or Azure ML endpoints/SageMaker/GCP Vertex) and implement CI/CD for ML.
Own MLOps: reproducible training model registry automated evaluation canary/blue-green releases data & concept drift monitoring retraining triggers.
Build observability: metrics tracing and alerting (e.g. Prometheus/Grafana/Evidently).

Collaboration & Ownership

Partner with product data and engineering to translate goals into measurable outcomes and SLAs.
Communicate trade-offs clearly; document assumptions data contracts and runbooks.
Demonstrate strong ownership: drive delivery timelines unblock dependencies and maintain production stability.

Required Skills & Experience

Core ML: 5 years hands-on with supervised learning with deep experience in regression (tabular data time-based features leakage control calibration error analysis).
Optimization: Practical experience with LP/MILP/CP or heuristic approaches (e.g. PuLP/OR-Tools/Pyomo) to operationalize decisions.
Python & Ecosystem: Proficient with pandas NumPy scikit-learn XGBoost/LightGBM; comfortable with PyTorch/TensorFlow for custom components if needed.
MLOps: Model packaging MLflow (or equivalent) for tracking/registry data versioning (e.g. DVC/LakeFS) and pipeline orchestration (Airflow/Kubeflow).
DevOps/Platform: Docker Kubernetes Git CI/CD (GitHub Actions/GitLab CI/Azure DevOps) artifact registries; environment management (poetry/conda).
Cloud: Experience deploying on Azure/AWS/GCP (managed training/inference storage IAM networking basics).
Quality & Reliability: Testing for data/feature integrity unit/integration tests performance profiling cost/perf optimization.
Soft Skills: Clear communication structured problem-solving stakeholder management and ownership mindset.

What We Offer

Professional Development and Mentorship.
Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
Health and Family Insurance.
40 Leaves per year along with maternity & paternity leaves.
Wellness meditation and Counsellingsessions.

Required Experience:

Senior IC

About US:-We turn customer challenges into growth opportunities.Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.Srijan a Material compa...