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Applications Development Sr Programmer Analyst - Python & Gen AI

India, Chennai · Job Posted February 14, 2026
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Job Description

As a Python, AI/ML, and Generative AI Developer, you will be responsible for end-to-end ownership of designing, developing, validating, and automating solutions for the automation team. You will leverage your expertise in Python, AI/ML frameworks, and Generative AI technologies to deliver scalable, efficient, and innovative solutions. This role requires hands-on experience and the ability to work across the entire development lifecycle, including requirement gathering, design, implementation, testing, and deployment.

Job Responsibility

  • Take full ownership of designing and developing AI/ML and Generative AI solutions to automate business processes
  • Architect and implement scalable, efficient, and maintainable solutions using Python and relevant AI/ML frameworks
  • Develop and fine-tune Generative AI models (e.g., GPT, LangChain, Hugging Face) for specific use cases
  • Design and implement APIs and integrations to connect AI/ML solutions with existing systems
  • Build, train, and validate machine learning models, ensuring high accuracy and performance
  • Develop Generative AI models for tasks such as text generation, classification, summarization, and more
  • Perform data preprocessing, feature engineering, and model optimization to improve outcomes
  • Validate models through rigorous testing and ensure compliance with business requirements
  • Automate repetitive tasks and workflows using Python scripts and AI/ML models
  • Implement end-to-end automation pipelines, including data ingestion, model training, validation, and deployment
  • Optimize existing automation solutions for performance, scalability, and reliability
  • Collaborate with cross-functional teams, including data scientists, business analysts, and operations teams, to gather requirements and deliver solutions
  • Partner with stakeholders to identify automation opportunities and propose AI/ML-driven solutions
  • Communicate technical concepts and project updates effectively to non-technical stakeholders
  • Develop and execute test cases to validate AI/ML models and automation workflows
  • Ensure solutions meet quality standards and adhere to best practices in software development
  • Implement automated testing frameworks to streamline validation processes
  • Deploy AI/ML models and automation solutions into production environments
  • Monitor the performance of deployed solutions and address any issues proactively
  • Implement logging, monitoring, and alerting mechanisms to ensure system reliability
  • Stay updated on the latest advancements in Python, AI/ML, and Generative AI technologies
  • Experiment with new tools, frameworks, and methodologies to enhance automation capabilities
  • Propose innovative solutions to improve efficiency and reduce manual effort
  • Create and maintain detailed documentation for all solutions, including design, implementation, and testing
  • Share knowledge and mentor junior team members to build technical expertise within the team

Requirements

  • Strong expertise in Python, with experience in developing scalable and maintainable code
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
  • Proficiency in tools like OpenAI GPT, LangChain, Hugging Face, or similar platforms
  • Experience in building end-to-end automation pipelines and integrating AI/ML solutions into workflows
  • Strong knowledge of data preprocessing, feature engineering, and working with structured/unstructured data
  • Experience in designing and implementing RESTful APIs and integrating AI/ML solutions with existing systems
  • Proficiency in developing test cases and implementing automated testing frameworks
  • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI/ML solutions
  • Experience with Git and CI/CD pipelines for version control and deployment
  • Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively
  • 8 years of relevant experience
  • Experience in systems analysis and programming of software applications
  • Experience in managing and implementing successful projects
  • Working knowledge of consulting/project management techniques/methods
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Bachelor’s degree/University degree or equivalent experience

Nice to have

  • Experience with vector databases (e.g., Pinecone, FAISS) and knowledge graphs
  • Familiarity with MLOps practices for managing the AI/ML lifecycle
  • Knowledge of Agile methodologies and tools like JIRA or Confluence
  • Prior experience in mentoring or leading junior developers

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