Software Engineering Senior Analyst

Job description

Key Skills: Machine Learning, Pyspark, AI/ML, Cloud, NLP, Agentic AI Roles and Responsibilities: • Implement and maintain ML models using CI/CD pipelines • Refactor code to meet enterprise software standards(error handling, logging and performance) • Optimize compute resources to ensure models respond quickly while keeping AWS costs low. • Troubleshoot and resolve issues related to model deployment and performance • Ensure compliance with security and data privacy standards in all implementation activities. • Keep up-to-date with the latest AL/ML tools, technologies and trends. • Support existing ML models and other cloud applications as needed. • Apply Agile principles in design, development, and delivery. • Collaborate effectively in a high-performing team environment. • Demonstrate ownership, innovation, and a proactive approach to problem-solving. Skills Required: • 4+ years of working experience with operationalizing Machine learning models • 4+ years being part of Agile teams - Scrum or Kanban • Proficiency in programming languages such as Python, PySpark, Spark/Scala • 4+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud) • 4+ Years of working experience with Machine Learning frameworks (Scikit-learn, PyTorch , Spark ML) • 4+ years of working experience with healthcare domain data and integrating them as key features (feature engineering) within predictive models • Experience with database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, • Cassandra • Experience with Github/SVN • Strong understanding of machine learning principles and model lifecycle management Desired Experience: • Experience with Databricks • Familiarity in scripting (JavaScript, R, Ruby, Perl, etc.) • Gen AI,LLM Implementation & LLM Orchestration Education: Bachelor's Degree in related field