Software Engineering Senior Analyst

Evernorth Health Services; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Evernorth Health Services in Hyderabad, India, seeks seasoned Cloud AI/ML Engineers to join our team and convert research models into production-ready batch jobs.

You will collaborate with data scientists and ML ops to monitor model performance, optimize compute resources, and ensure secure, scalable deployments within an Agile setting.

Responsibilities include CI/CD integration, refactoring for enterprise standards, and ongoing support of ML models in cloud environments (AWS/Azure/Google Cloud).

Qualifications

• 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,
• Experience with Github/SVN
• Strong understanding of machine learning principles and model lifecycle management
• Experience with Databricks

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

Python

PySpark

Spark/Scala

AWS/Azure/GC

ML frameworks

Healthcare data

Agile/Scrum

Model lifecycle

CI/CD

Databricks

Education

Bachelor's degree in Data Science or Computer Science

Tools

GitHub

SVN

Hadoop

Redshift

PostgreSQL

MongoDB

Databricks

Teradata

Oracle

MySQL

Job description

Evernorth, a leading health services organization,seeks highly skill Cloud AI/ML Engineers to join our team. In this position, you will collaborate closely with your development team on projects aligned with Evernorth’s strategic objectives and work alongside subject matter experts to accurately interpret business logic for engineering purposes. The ideal candidate will refactor and wrap models provided by Data Scientists into production-ready batch processing jobs.The Engineer will collaborate with ML operations team in monitoring the performance of the ML models. The role operates within an agile environment, delivering business-centric solutions.

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.

Qualifications

Required Skills:

• 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,
• Experience with Github/SVN
• Strong understanding of machine learning principles and model lifecycle management
• Desired Experience:
• Experience with Databricks
• Education:
• Minimum degree required for position (bachelors degree):
• Acceptable Major(s) or Field(s) of Study: Data Science, Computer Science
• Skills/Certifications/Licenses:
• Nice to have AWS solution architecture and developer certification
• Nice to data science and Machine learning certification from a reputed institution