Machine Learning Engineer 2

• The position involves working closely with Product management for design, development, debugging and maintenance of ML Models that power various features in GenStudio.
• Work closely with engineering team in building a Cloud Native multi-tenant pipelines taking the ML/DL models through the entire lifecycle improving on usability, explain-ability and performance.
• Understand requirements, ideate and iterate quickly to build a production ready application.

Requirements

• B.Tech / M.Tech degree in Computer Science. MS/PhD preferred.
• Should have 2 - 4 years of experience in designing, developing and deploying Statistical, Machine Learning and Deep Learning models.
• Ability to work independently with strong problem solving skills.
• Should have excellent knowledge in fundamentals of Machine
• Proficient with solutioning using Regression, Forecasting and Optimization.
• Should have excellent foundational knowledge in Probability, Statistics and Operations Research/Optimization techniques.
• Should have hands on experience through ML Lifecycle from EDA to model deployment and with data analysis tools like Jupyter and packages like NumPy, Pandas, Matplotlib.
• Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready
• Stay informed about the latest advancements in generative AI and natural language processing. Explore innovative ways to utilize AI for creative and practical applications

Good To Have

• Excellent computer science fundamentals and a good understanding of architecture, design and performance.
• Proficient in Object Oriented Programming Language - preferably Python, data structure and algorithm.
• Good understanding of object oriented design and knowledge of product life cycles and associated issues.
• Technical depth in Cloud Computing, Cloud Platforms and Services architecture and design.