Job highlights

- Proficiency with Python,SQL,and ML frameworks (TensorFlow,PyTorch,Scikit-learn,etc.)
- Robust experience in Data Engineering (ETL pipelines,data warehousing,distributed systems)
- Hands-on experience with cloud platforms (AWS,GCP,Azure) and big data technologies (Spark,Kafka,Databricks)
- Experience with LLMs,prompt engineering,and generative AI
- Lead the design, development, and deployment of machine learning models for real-world business problems.
- Drive end-to-end data pipelines, from data ingestion and transformation to model serving and monitoring.
- Collaborate with cross-functional teams to define data strategies, ensuring high-quality, reliable data for analytics and ML use cases.
- Mentor junior data scientists and engineers, setting best practices in modeling, MLOps, and data engineering.
- Explore and evaluate emerging trends in Agentic AI and advanced ML techniques to incorporate into future product capabilities.




- Work closely with product and engineering leadership to align data initiatives with business goals.

The Perfect Fit

- Proven expertise in Data Science & Machine Learning (model development, deployment, and scaling).
- Strong experience in Data Engineering (ETL pipelines, data warehousing, distributed systems).
- Proficiency with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Kafka, Databricks).
- Solid understanding of MLOps practices (CI/CD for ML, model monitoring, reproducibility).
- Excellent problem-solving, communication, and leadership skills.

Your Edge Over the Rest
- Exposure to Agentic AI frameworks and research in autonomous AI systems.
- Experience with LLMs, prompt engineering, and generative AI.
- Knowledge of advanced optimization and reinforcement learning.

📌 Data Scientist (Bengaluru)
🏢 Vegapay
📍 Bengaluru