Team Leadership & Development: Build, mentor, and manage a team of data scientists, and machine learning engineers. Foster a culture of collaboration, innovation, and technical excellence.
Roadmap Execution: Define and execute on the quarterly AI/ML roadmap, setting clear goals, priorities, and deliverables for the team.
Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them.
Define technical architecture to productize Innovaccer s machine-learning algorithms and take them to market with partnerships with different organization.
Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows.
Project & Stakeholder Management: Work closely with cross-functional teams, including product managers, engineers, and business leaders, to align AI/ML initiatives with company objectives.
What You Need
Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)
8+ years of experience in Data Science (healthcare experience will be a plus)
Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - Has demonstrable experience deploying deep
learning models in production at scale with interactive improvements- would require
hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow.
Strong hands-on experience in building GenAI applications - building LLM based workflows along with optimization techniques - knowledge of implementing agentic
workflows is a plus.
Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Having patents/publications in any area of AI/ML is a great add on.
Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s
