GEP - Data Scientist

- Bachelors/Masters/PhD degree in Computer Science, Computer Engineering, Applied Mathematics, Operations research or related technical discipline with 4+ years of industry experience in Data Science.

- Experience working with supervised/unsupervised learning ML models such as support vector machines (SVM), neural networks, Bayesian models, CNN, RNN, computer vision techniques, reinforcement learning etc. The ideal candidate will have a wide coverage of the different methods/models, and in-depth knowledge of some.

- Experience in solutions built using Gen AI Technologies, Agentic Workflow

- Demonstrated experience in natural language understanding.

- Strong coding experience in Python, R and Apache Spark.

- Python Skills are mandatory.

- Experience in LangChain, LangGraph, Vector Databases, Microsoft Autogen

- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. Proven ability of working on open-source frameworks such as Keras, TensorFlow, Spark ML, H20 etc.

- Experience of working on Microsoft Azure is a plus although not mandatory.

- Proven experience writing production-grade software

- Extensive experience in model development and life-cycle management in one or more industries. Knowledge of Generative AI and LLM implementation.