Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with LangChain , AutoGen , or similar frameworks for multi-agent systems.
Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation.
Nice to have:
Familiarity with Big Data tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL).
Expertise in ReactJS for building responsive and interactive user interfaces.
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 Counselling sessions
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse Architect / ConsultantEmployement Type: Full time