Data Science Lead

3 days ago


Bengaluru, Karnataka, India Inxite Out Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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, POCs 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 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):

  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.


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


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