5Brief 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
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