Posted:1 day ago|
Platform:
On-site
Full Time
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Candidate should have 4-7 years of total IT experience and at least 3 years’ experience in ML problem formulation, building, testing, deploying and operationalizing models in different Cloud Environments.
· 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.
· 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.
· 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
· PhD in Statistics, Mathematics
Gegnat Yards
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