Data Science lead

3 hours ago

Bareilly, India Inxite Out Full time

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.



About the Role: 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 FastAPI 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).

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