Machine Learning-AI and Data Science Engineer III
deloitte
Job Description
- Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
- Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
Location: Bengaluru/Hyderabad/Pune/Chennai
Qualifications
Required:
- 6-10 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling
- Lead a 3–5-member team on multiple ends to end DS/ML projects
- Excellent communication and client/stakeholder management skills
- Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.
- Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.
- Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI
- Model deployment on Cloud or On-prem will be an added advantage
- Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)
- Lead and deliver large-scale DS/ML end to end projects across multiple industries and domains
- Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements
- Lead a team of Data Engineers, ML/AI Engineers, DevOps, and other Data & AI professionals to deliver projects from inception to implementation
- Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.
- Assist and participate in pre-sales, client pursuits and proposals
- Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members