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.

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, POC’s and production-grade applications.
• Strong proficiency in Python with OOP principles - (4 years of experience)
• Experience developing APIs using Flask or Fast API frameworks – (2 years of experience)
• Integration knowledge with front-end applications – (1 year of experience)
• Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - (3 years of experience)
• Familiarity with task management tools (e.g., Jira, Azure DevOps) - (2 years of experience)
• Proficiency in databases, including SQL, NoSQL and vector databases – (2+ years of experience)
• Working knowledge of ML pipelines and CI/CD.
• Experience with at least one of the cloud platforms (Azure, AWS, GCP) - (2+ years of experience)
  
  

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):

• NLP
• Generative AI (NLP)
• Computer Vision
• Time Series Forecasting
• Recommendation Systems and Optimization
  
  

Roles & Responsibilities

• Advanced AI/ML/Gen AI Implementation:
• Leverage advanced AI and machine learning techniques to address complex business challenges.
• Design, develop, and deliver innovative data science solutions.
• Architectural Design:
• Develop end-to-end generative AI solutions.
• Build scalable architectures for AI/ML models and applications.
• Team Leadership:
• Lead and mentor a team of data scientists, fostering professional growth and technical excellence.
• Provide strategic and technical guidance to ensure the team delivers high-quality projects.
• Cross-functional Collaboration:
• 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.
• Bachelor’s degree in computer science, Data Science, or related field (Master’s/PG in AI/ML/DS preferred).