Software Engineering Senior Analyst_102150

MyCareernet; Hyderabad; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

MyCareernet is seeking a skilled ML engineer to implement and operationalize ML models within CI/CD pipelines, focusing on scalable, enterprise-grade solutions in a cloud environment.

You will refactor code for reliability, optimize resources across AWS, collaborate in Agile teams, and ensure data privacy as you support ongoing cloud applications and model lifecycle management.

Qualifications

• 4+ years experience operationalizing ML models.
• 4+ years in Agile teams - Scrum or Kanban.
• Proficiency in Python, PySpark, Spark/Scala.
• 4+ years cloud architecture experience (AWS, Azure, GCP).
• 4+ years ML frameworks (Scikit-learn, PyTorch, Spark ML).
• 4+ years healthcare domain data experience with feature engineering for predictive models.
• Experience with Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j.
• Experience with Github/SVN.
• Strong understanding of ML principles and lifecycle management.

Responsibilities

• Implement and maintain ML models via 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 AI/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

ML modelling

Python

PySpark

Spark/Scala

AWS

Azure

GCP

MLOps

Agile

Healthcare data

SQL/NoSQL

Git

Model lifecycle

Education

Bachelor's Degree in related field

Tools

Databricks

Hadoop

Redshift

Oracle

MySQL

PostgreSQL

MongoDB

Neo4j

Git

SVN

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

Desired Experience

• Experience with Databricks

Education

Bachelor's Degree in related field