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
Solid 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

📌 Software Engineering Senior Analyst_102150 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad