Applications Development Sr Programmer Analyst - Python & Gen AI - Assistan at Citi

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML Frameworks, Generative AI, Solution Design, Model Development, Automation, APIs and Integration, Testing and Validation, Deployment and Monitoring, TensorFlow, PyTorch, Scikit-learn, GPT, LangChain, Hugging Face, Git

Industry

Financial Services

Description

Role Overview: 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. Key Responsibilities: 1. Solution Design and Development: 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. 2. Model Development and Validation: 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. 3. Automation and Optimization: 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. 4. Collaboration and Stakeholder Management: 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. 5. Testing and Quality Assurance: 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. 6. Deployment and Monitoring: 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. 7. Research and Innovation: 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. 8. Documentation and Knowledge Sharing: 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. Required Skills and Qualifications: Programming: Strong expertise in Python, with experience in developing scalable and maintainable code. AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks. Generative AI Tools: Proficiency in tools like OpenAI GPT, LangChain, Hugging Face, or similar platforms. Automation: Experience in building end-to-end automation pipelines and integrating AI/ML solutions into workflows. Data Handling: Strong knowledge of data preprocessing, feature engineering, and working with structured/unstructured data. APIs and Integration: Experience in designing and implementing RESTful APIs and integrating AI/ML solutions with existing systems. Testing and Validation: Proficiency in developing test cases and implementing automated testing frameworks. Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI/ML solutions. Version Control: Experience with Git and CI/CD pipelines for version control and deployment. Soft Skills: Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively. Preferred Qualifications: 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. Qualifications: 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 Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Python, AI/ML, Gen AI ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Responsibilities

The role involves end-to-end ownership of designing, developing, validating, and automating solutions leveraging Python, AI/ML, and Generative AI technologies for business process automation. Key duties include architecting scalable solutions, building and fine-tuning models like GPT, and implementing robust testing and deployment pipelines.