Data Science Lead (ML & Gen AI) - Immediate Joiner

Lead Data Scientist

Mandatory Technical Skills:

•       Strong statistical and machine learning intuition to address new and unique challenges.

•       Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications.

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•       Working knowledge of ML pipelines and CI/CD.

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Core Excellence Areas (CEA):

THREE

1. NLP
2.  Generative AI (NLP)
3.    Computer Vision
4.    Time Series Forecasting
5.    Recommendation Systems and Optimization

Roles & Responsibilities:

Advanced AI/ML/Gen AI Implementation:

o  Leverage advanced AI and machine learning techniques to address complex business challenges.

o  Design, develop, and deliver innovative data science solutions.

Architectural Design:

o  Develop end-to-end generative AI solutions.

o  Build scalable architectures for AI/ML models and applications.

Team Leadership:

o  Lead and mentor a team of data scientists, fostering professional growth and technical excellence.

o  Provide strategic and technical guidance to ensure the team delivers high-quality projects.

Cross-functional Collaboration:

o  Work closely with data engineering, product, and business teams to align on objectives and integrate solutions.

Client Engagement

• Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships.

Innovation:

• Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology.

Nice to have Skills:

•       Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing.

•       Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau)

•       Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).

•       Experience with cloud platforms and MLOps practices.

•       Project management skills to lead initiatives effectively.

•       Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases.

Experience & Educational Qualifications:

5+ years

2+ years of hands-on experience

1 year

•       Bachelor’s degree in computer science, Data Science, or related field (Master’s/PG in AI/ML/DS preferred).