The team uses AI and Data technologies together with strong statistical skills to develop Machine Learning algorithms.The team is use-case driven and iterates to identify areas of improvements and difficulties prior to industrialization. They first start with a simplified approach and on an initial set of data. Based on user feedbacks, the model is then optimised and trained to deliver value. Usual roles within the team are: use-case selection, project management, product/user requirements, data analysis, modelling & optimization, prototyping & industrialization etc.

Experience: 6-10 years

Mandatory Skills: Python, Machine Learning, REST API, SQL

Detailed Job Description :

– Lead team of data scientists and support them

– Processing, cleansing, and verifying the integrity of data used for analysis.
– Conduct data quality checks and exploratory analyses.
– Demonstrated programming skills in relevant languages – Python, API
– Build models end-to-end.
– Understanding of statistical modeling (Regression, Clustering, Decision trees, Logistic Regression,)
– Understanding of machine learning algorithms (KNN, Random Forests, Ensemble Methods, Bayesian/ Markov networks etc.)
– Should be able to integrate end-to-end ML solution into feature/product suite and/or business functions

– Experience with data visualization tools and UI development technologies will be a plus
– Designing technical frameworks and platforms based on various use cases
– Find opportunities to automate analytical process or data extraction & flow process
– Propose hypotheses and design experiments in the context of specific problems.
– Advance AI Research Topics (Deep Learning / Kernel & Spectral Methods / Forecasting).