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Mid-level ML role at a Sequoia-backed firm in Bangalore with broad skills, driving high competition.
Requires strong ML expertise plus client-domain familiarity, making cross-industry moves moderately sensitive.
Explicit 4-8 years, required ML toolstack and master's degree increase shortlisting strictness.
Lead end-to-end client AI & analytics programs combining hands-on data science, technical team management, and client engagement.
Develop predictive machine learning models and design data science roadmaps to guide team deliverables and internal product initiatives.
Manage client relationships, project delivery, and build technology strategy and scalable processes for faster turnaround and higher accuracy.
4-8 years of relevant machine learning experience.
Master's degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning, or related technical field.
Proficiency in Python, R, SQL, NoSQL, Spark, and experience with ML tools and cloud platforms (AWS, Azure, GCP).
Experience with ML algorithms (SVM, Random Forest, Neural Networks, etc.), statistical hypothesis testing, and client stakeholder management.
Experienced in leading complex data science projects involving both structured and unstructured data across industries like Retail, Pharma, Banking, and Insurance.
Capable of managing technical teams, allocating tasks based on skills and workload, and driving business results from large datasets.
Skilled in client engagement with ability to act as trusted advisor and to build business cases for technology investments.