Brief Summary of the Role :

Candidate should have 10+ years of total IT experience and at least 5 years experience in ML problem formulation, building, testing, deploying and operationalizing models in different Cloud Environments.

Objective of this role :

- Front End with clients to understand Business Process / Requirements/KPIs and Communicate it with internal team.

- Direct a team of data scientists, data engineers and ML Engineers to achieving desired results.

- Receptive to taking up new initiatives learning and delivering output Combine the best of Software Engineering and Model Development Practice.

Responsibilities :

- Work directly with clients and cross functional teams such as SME, Data Scientists, Engineering to define, develop and implement right ML Solution.

- Defining POCs, Building Rapid prototypes, communicating the results with stakeholders and taking POCs to production and enabling teams to monitor ML models.

- Should be able to learn new Technology & Domain and Identify new Data sources that can solve a particular problem.

- Should be able to experiment with new Technologies in ML / DL space and help define architecture

- Understand & Perform Infra sizing for Training and Serving Production Environments.

Required/Must have skills :

- Masters / Bachelors in Computer Science, Mathematics, Statistics, AI, Data Science or related field

- Must have Experience of working in End-End model development ML/DL with different Algorithms using Scikit, TensorFlow, PyTorch, Python, R in AWS / GCP / Azure, Generative AI.

- Must have experience of MLOps and additionally experience of optimizing, deploying ML/DL models in different environments

- Must have experience of leading a team of Data scientists / ML Engineers

- Must have worked in at least two Domains such as FSI, Healthcare and Life Sciences, Retail, Travel, Supply Chain

Preferred/Good to have skills/Qualifications :

- PhD in Statistics, Mathematics

- Candidates with working knowledge in Pharmacovigilance/FSI would be preferred