SeniorLead Data Scientist MLOPS

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

What We Offer

Required Experience :

Senior IC

Key Skills

Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry

Experience : years

Vacancy : 1