Gen AI | ML- Data Scientist- ( Lead)

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements.

KEY RESPONSIBILITIES• Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization.• Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics.• Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services.• Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions.

Skills/ Competencies Required
Technical Skills

• Proficiency with Python (Pandas, NumPy), SQL, and Java.
• Experience with LLMs, LangChain, and Generative AI technologies.• Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).• Microservices, CI CD, ML• Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.• Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.• Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.• Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.

Soft Skills

• Work in a team/ Independently.
• Excellent Written & Verbal Communication Skills• Solid critical thinking and questioning skills.• High degree of flexibility - willing to fill in the gaps rather than relying on others• Strong communication skills, especially in presenting data insights.• Flexibility, problem-solving, and a proactive approach in a fast-paced environment