Analyst Programmer

About your role Join our team of enthusiastic technologists as we build the future of a cloud-based intelligent integration platform

This role is for an experienced Python engineer along with AI/ML expertise who can comprehend complex functional and technical issues and develop solutions that align with business needs. You will work on cloud-native AI-driven integration systems, leveraging Kubernetes, AWS, and advanced automation with a top-performing team to deliver enterprise-grade solutions.

About you

Essential Skills

• 3-5 years of overall full stack Python hands on experience of system software development, testing and maintenance
• • Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI)
  • Experience with Python libraries and tools (e.g., Pandas, NumPy, SQLAlchemy)
  • Familiarity with REST API security, authentication, and authorization mechanisms (e.g., OAuth, JWT)
  • Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors)
  • Experience in model training, evaluation, and deployment in production environments.
  • Hands on knowledge of ETL pipeline development and automating ML workflows.

• Hands on development experience of AWS (S3, lambda, api gateway, EC2, CloudFront, Route53, Dynamo DB, vpc, subnets)
• Hands-on experience with Kubernetes for container orchestration
• Knowledge of deploying, managing, and scaling applications on Kubernetes clusters
• Should have clear understating on continuous integration, build, release, code quality
• Hands on with coding and debugging. Should be able to write high quality code optimized for performance and scale

Skills nice to have:

• Hands on experience with SnapLogic cloud-native integration platform. Ability to design and implement integration pipelines using low code iPaaS tools
• Hands-on experience with TensorFlow, PyTorch
• Familiarity with NLP techniques and libraries ( Hugging Face Transformers)
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Experience in CI/CD, TDD, DevOps, CI/CD tools - Jenkins/UrbanCode/SonarQube/ Bamboo

Key Responsibilities

• Develop, and maintain Python-based applications for cloud and AI-driven integration platforms.
• Build and deploy machine learning models and integrate them into production systems
• Develop ETL pipelines for AI data processing and automation workflows
• Implement MLOps practices for continuous integration and deployment of ML models
• Collaborate with cross-functional teams to design scalable, secure, and high-performance solutions.
• Ensure adherence to best practices in cloud architecture, container orchestration, and AI model lifecycle management.
• Communicate with business analysts to discuss various business requirements

Experience and Qualification:

• B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University
• Total 3-5 years of experience with application development on Python language, API development along with SQL, PL/SQL