Description

Build and maintain production-ready machine learning systems and scalable software solutions.

This role is on-site.

Responsibilities

• Develop production-ready codebases in Python following SDLC and MLOps principles.
• Analyze large datasets using SQL and Spark for distributed computing tasks.
• Design and build scalable software solutions leveraging data science hardware infrastructure.
• Deploy machine learning models into production environments.

Required Skills

• 11+ years of software engineering experience with an enterprise architecture background.
• 5+ years of professional software development experience using Python.
• 3+ years of experience with Spark and NoSQL databases like MapR DB or Cassandra.
• Strong relational database skills with SQL, JDBC, Oracle, or PostgreSQL.
• Experience in high-volume transactional environments.
• Proficiency with Big Data components including Hadoop and Spark.
• Ability to work with Scala and PySpark.

Preferred Skills

• K knowledge of statistics and ML concepts including model selection, parameter tuning, and A/B testing.
• Experience with MLOps and production model deployment.

Key Skills

Education

Any Graduate