Lead Data Scientist

Job Summary:

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings.

Core Excellence Areas (CEA):

Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying):

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:

•       Minimum of 5+ years of experience solving complex machine learning problems.

•       At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas.

•       Minimum of 1 year leading and managing ML projects end-to-end.

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