Gen AI Python Developer - S

Key Responsibilities

• Design, develop, and maintain applications using Python.
• Build and deploy Generative AI and Machine Learning solutions for business use cases.
• Develop and optimize AI-powered applications using Large Language Models (LLMs).
• Create and maintain data pipelines for AI and ML workflows.
• Develop APIs and backend services for AI applications.
• Work with structured and unstructured datasets for model training and inference.
• Perform data analysis, feature engineering, and model evaluation.
• Integrate AI/ML models with enterprise applications and cloud platforms.
• Monitor model performance and implement improvements.
• Collaborate with cross-functional teams throughout the SDLC lifecycle.
• Ensure security, scalability, reliability, and performance of AI solutions.
• Prepare technical documentation and knowledge-sharing materials.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
• 3+ years of experience in Python development.
• Hands-on experience in Generative AI and Machine Learning projects.
• Strong problem-solving and analytical skills.
• Experience in software development lifecycle and Agile methodologies.

Technical Skills

Programming

• Python
• Object-Oriented Programming (OOP)
• REST API Development
• Microservices Architecture

Generative AI

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents and Autonomous Workflows
• Vector Databases
• Fine-Tuning and Model Optimization
• AI Application Development

AI Platforms & Frameworks

• OpenAI
• Azure OpenAI
• LangChain
• LlamaIndex
• Hugging Face
• Transformers
• Semantic Kernel (Preferred)

Machine Learning Skills

• Supervised Learning
• Unsupervised Learning
• Classification & Regression
• Clustering Techniques
• Model Training & Evaluation
• Feature Engineering
• Model Deployment
• MLOps Concepts

ML Frameworks

• Scikit-learn
• TensorFlow
• PyTorch
• XGBoost

SQL & Data Management

Strong experience with:

• SQL Query Development
• Database Design
• Data Modeling
• Data Analysis
• ETL Processes
• Stored Procedures
• Performance Optimization

Databases

• SQL Server
• PostgreSQL
• MySQL
• Oracle
• MongoDB (Preferred)

Data Engineering Skills

• Data Cleaning and Transformation
• Data Warehousing Concepts
• Data Pipelines
• Batch and Real-Time Processing
• Data Integration

Cloud & DevOps (Preferred)

Experience with:

• Microsoft Azure
• Azure OpenAI
• Azure Machine Learning
• Azure Data Factory
• Azure Databricks
• AWS or GCP

DevOps Tools

• Git
• GitHub
• Azure DevOps
• Jenkins
• Docker
• Kubernetes