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About the role
- 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) - Robust 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 - Strong written and spoken communication skills - 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) - Robust 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 - Strong written and spoken communication skills
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