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Data Science/Machine Learning Leader

3 months ago

bangalore, India PEOPLESQUARE HUMAN RESOURCE CONSULTING PVT LTD Full time

Job Description :


What You'll Do :

- Lead the development of machine learning algorithms search/type-ahead, content recommendations, or algorithmic customer understanding teams.

- Grow and manage a team of ML scientists and machine-learning engineers.

- Own the forward looking roadmap and executional plan for a team and be accountable for the team plan to achieve this ambitious roadmap.

- Develop technical leadership within the team and continuously upskill the team while modeling a culture of continuous research and innovation.

- Collaborate closely with the product and engineering leaders in our SMART technologies group to build a next-generation search and recommendations stack and the organization required to maintain and innovate on it

- Contribute as a senior leader beyond the SMART group, in particular within our broader ML community

What You'll Need :

- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.

- 10+ years of industry experience, with at least 1-2 years experience as a manager of teams and 4+ serving as an IC on production ML systems.

- Track record of leading teams and building scalable customer-facing machine learning products that work in real-time with low latency and drive tangible and material business results.

- Deep familiarity with suggest/type-ahead systems, search and ranking, or content recommendations as well as experience building scalable applications around technology such as Spark/Python/Airflow/GCP or AWS and Java.

- Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them.

- Intellectual curiosity and a desire to always be learning

Nice to have :

- PhD in Computer Science, Data Science or related field

- Familiarity with Generative AI and their usage in improving search and recommender
systems.

- Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or ML Flow)

(ref:hirist.tech)