Backend Python Developer Serverless Job in Impact Analytics

What this role entails Collaborate with the team to develop enterprise software systems Review product requirements on new and existing features Work on serverless system design and development. Design and develop state-of-art ML model deployment and orchestration framework Collaborate with the Engineering/DevOps/Data Science Team to in uence the scope, capabilities, and roadmap of the ML Platform. Build Machine Learning tools & frameworks that accelerate the Data Science Process& Model Deployment in Production. R& D - on the latest Open Source Technologies & frameworks to solve complex problems & improve the existing solutions. Flexible to work on ML Modeling & End-to-End ML Pipeline Creation & Deployment in Production Building a scalable, robust, & reliable ML Infrastructure. Articulate & Document best practices & ML System Design Principles to mentor other developers. What lands you in this role Bachelors or master s degree in computer science, IT, Statistics, Applied Mathematics & Computing, or a related eld, with 3 to 6 years of relevant work experience in Software development,Machine learning, and DevOps Strong programming skills in Python and web frameworks like Django/FastAPI Practical understanding of ML frameworks, libraries and packages like scikit-learn, PyTorch, TensorFlow, Understanding of ML Lifecycle, MlOps & Hands on experience to Productionize the ML model is a plus. Experience in Google cloud platform is a plus. Familiarity with Big Data Technologies - Air ow, Spark & working knowledge of Kubernetes, Docker & CI/CD Pipeline Creation. Exposure to Batch Processing, Stream Processing, Pub-Sub Architecture & Understanding of SQL & NoSQL databases. Detailed knowledge of object-oriented design, Design patterns, data structures, and algorithms. Exposure to cloud infrastructures, such as GCP, Azure or AWS