Software Engineering Senior Analyst

Careernet

Hyderabad, Bengaluru

Hybrid

INR 1,200,000 - 2,400,000

Full time

11 days ago

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Job summary

Careernet is seeking an experienced ML professional to implement and operationalize advanced ML models in a modern cloud environment. You will drive model deployment, optimization, and performance tuning within an Agile team, balancing cost and reliability.

The role requires strong software practices, data privacy awareness, and proactive collaboration to deliver scalable AI solutions in a dynamic enterprise setting.

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 features 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

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 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

Machine Learning
Pyspark
AI/ML
Cloud
NLP
Agentic AI

Education

Bachelor's Degree in related field

Tools

Hadoop
Teradata
Redshift
Oracle
MySQL
PostgreSQL
MongoDB
Neo4j
Cassandra
Github/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,
  • 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

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