Job Description Summary

Job Description

Key Responsibilities

• Frame business problems into analytical and machine learning use cases.

• Engineer features and develop predictive and prescriptive models.

• Train, evaluate, validate, and deploy models for production use.

• Monitor model performance, drift, and retraining needs.

• Collaborate with Data Engineers and MLOps to ensure scalable deployments.

• Automate ML workflows (CI/CD) and manage Mlflow registry

• Ensure compliance with data governance, ethical AI, and responsible AI standards.

• Communicate insights, assumptions, and outcomes to business stakeholders.

Working Relationships

• Partners with Data Engineers, Data/AI Product Owners, Business Product Owners and Legal/Compliance Teams

Technical Skill Requirements

Experience Required- 4- 9 Years

• Statistics, machine learning, and optimization techniques

• Python, SQL, and distributed data processing

• Feature engineering and model lifecycle management

• Model monitoring, drift detection, and retraining

• MLOps and CI/CD for analytics solutions

• Responsible and ethical AI practices

Required Qualifications

• Strong academic or professional background in data science, statistics, or applied mathematics. Master’s Degree preferred with at least 3 years of work experience.

• Proven experience building and deploying ML models in production environments.

• Experience and knowledge of ERP, SAP systems and APS

• Experience working in cross‑functional, product‑oriented teams.

Skills & Proficiency Targets

•Feature Engineering (Deltra/Feature Store) – Expert

•Mlflow Experiments/Registry – Expert

•Model Monitoring & Drift – Expert

•Serving (Batch/Real-time)- Proficient

•Statistics & ML – Working

•Python/SQL/Spark – Proficient

•ML Ops on Databricks – Proficient

•Responsible AI – Working

Databricks Academy / Learning Paths

•ML Practitioner/ Learning Path

• Feature Engineering & Feature Store

• Mlflow Experiments & Model Registry

• Serving & Monitoring on Databricks

Recommended Certifications

• Databricks Machine Learning Professional

• Dtabricks ML Practitioner

• Axure Data Scientist (DP-100)

• Tensorflow Developer

• Responsible AI ( Microsoft/edX)

Required Skills

Optional Skills

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Primary Work Location

Additional Locations

Work Shift