Key Responsibilities

- Design, develop, and deploy AI/ML solutions using Python and modern machine learning frameworks.
- Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
- Perform data wrangling, feature engineering, model training, evaluation, and benchmarking.
- Integrate AI solutions with APIs, enterprise systems, and cloud platforms.
- Work with vector databases, data labeling tools, and AI workflow pipelines.
- Deploy and monitor AI models using MLOps best practices.
- Ensure Responsible AI practices including fairness, explainability, and bias mitigation.
- Collaborate with cross-functional teams to deliver scalable AI solutions.

Required Skills : Mandatory Skills

- Python Programming
- Machine Learning (Supervised & Unsupervised Learning)
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Data Wrangling & Model Benchmarking
- Vector Databases & AI Pipelines

Preferred Skills

- AWS, Azure, or GCP Cloud Platforms
- Azure AI Services
- MLOps Tools and Practices
- REST APIs & Microservices
- Docker & Kubernetes
- Responsible AI & Bias Mitigation
- Data Labeling Tools

Technical Expertise

- Strong hands-on experience with GPT and other LLM architectures.
- Experience designing and implementing enterprise-grade RAG frameworks.
- Familiarity with model deployment frameworks and cloud-native AI solutions.
- Knowledge of containerization and orchestration technologies.
- Ability to evaluate, benchmark, and optimize AI model performance.




- Experience using AI coding assistants and productivity tools for rapid development.
- 5-8 years of relevant experience in AI/ML development.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced consulting environment.
- Passion for emerging AI technologies and innovation.

Why Join

- Opportunity to work with a leading global consulting organization.
- Exposure to cutting-edge AI, GenAI, and LLM technologies.
- Competitive compensation package.
- Hybrid work model with excellent growth opportunities.

Pay: ₹2,500,000.00 - ₹2,800,000.00 per year

Perks :

- Provident Fund

Education :

- Bachelor's (required)

Experience :

- Python Programming & Machine Learning: 5 years (required)
- Generative AI (GenAI) Development &LLMs;) - GPT, OpenAI, etc.: 5 years (required)
- Retrieval-Augmented Generation (RAG) Frameworks & : 5 years (required)
- Data Wrangling, Data Processing & Model Benchmarking: 5 years (required)
- AI Model Development, Deployment & Optimization: 5 years (required)
- Cloud Platforms (AWS, Azure, GCP): 5 years (required)
- Azure AI Services, MLOps Tools & Practices: 5 years (required)
- Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS, etc.): 5 years (required)
- REST APIs & Microservices Development: 5 years (required)
- Docker & Kubernetes Containerization: 5 years (required)
- Responsible AI, Fairness, Explainability & Bias Mitigation: 5 years (required)

Language :

- English (required)

Location :

- Pune, Maharashtra (Pune, Pune District) (required)

Work Location: In person

📌 Ai Developer - Genai & Llm Specialist (Pune)
🏢 CareerCraft
📍 Pune