Responsibilites:
1. Lead a team of 5-10 data scientists across machine learning engineers, computer vision experts, data engineers, statistical modelers and others.
2. Problem solve on path to impact/value creation and troubleshooting wherever there are hurdles.
3. Problem solve, coach, trouble shoot and mentor and empower data scientists on building more accurate models.
4. Interface with users (across levels), senior stake holders and internal teams to ensure the models and products deliver what they are supposed to.
5. Interact with the users and pre-empt problems / identify early warning signals and solve for the issues.
6. Program manage at a time 5-10 delivery situations (each of which may also be across multiple sites).
7. Adopt a non compromising approach to client success.
8. Innovate to ensure we use cutting edge AI ML approach to model building, training and deployment.
9. Collaborate with SWEs to fetch data / Data ETL and for model deployment.
10. Contribute to organization building through training, mentoring and developing repeatable analytic approaches.
Required Skills:
1. 5 years of experience into Data Science.
2. Must have experience in computer vision.
3. Hands On Knowledge of DS / ML / AI techniques - when and why they are used, tuning the model and interpretation of results from a business viewpoint.
4. Good programming skills in Python with strong working knowledge of Python libraries such as NumPy, Pandas, Scikit-learn, tensor flow/keras, pycaret etc. Preferable experience in Auto/ Consumer goods/ retail / manufacturing/ pharma sectors.
5. Excellent presentation and communication skills.
Keyskills: Data Science Yolo Computer Vision Data ETL Pandas model deployment Scikit-learn Python libraries tensor flow NumPy
We are building an AI platform to make manufacturing more competitive. We will enable the shop-floor managers and plant teams take better decisions via an AI-ML based DIY platform where they can run analytics and get recommendations. Our Beta product is live at several leading Indian companies. Plea...