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 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad