Software Engineering Senior Analyst_102150

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