Key skills: ML Engineer + Pyspark + Azure/GCP (someone having exp or knows or is ready to learn and work on MLOps)
Job Description: Senior Data Scientist (ML Engineer)
We are seeking a Machine Learning Engineer with a strong Data Science background to join our dynamic team. The ideal candidate is a tech-savvy, hands-on professional with experience in GCP (preferred) or Azure, capable of working on advanced Spark pipelines and optimizing ML workflows and interested to work on MLOps or having a prior experience with MLOps.
Key Responsibilities
Design and optimize ML models and data pipelines.
Translate business problems into data science solutions.
Validate OKRs against statistical measures and drive technical decisions.
Leverage advanced analytical tools for insight generation and storytelling.
Collaborate across teams to solve complex business challenges.
Primary Skills
Strong communication and articulation (vocal & written).
Technical decision-making and problem-solving.
Data wrangling, design thinking, and business acumen.
Proficiency in Excel VBA and Data Storytelling.
High data literacy and curiosity.
Secondary Skills
Familiarity with Azure and GCP App Engine.
Secondary Skills
Specialization
Data Science Foundation: AI/ML Engineer
Job requirements
• Looking for ML Engineer with Data Science background. • Tech savvy, hands-on person with experience working on GCP (preferred) and/or Azure • Should have experience with Spark, tuning pipeline, and ML aspects
