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We have an exciting opportunity that aligns with your experience in Gen AI / AI-ML domain. Please find the details below: Experience: 4 to 15yrs Notice Period: Open JD 1: Gen AI + Python Developer Note Applicants should have hands-on experience in Gen AI + Python and knowledge of Large Language Models (LLMs), RAG pipelines, embeddings, and prompt engineering. Practical experience with AI-driven and GenAI applications is preferred. Key Responsibilities - Develop and maintain Python-based applications and APIs powered by Generative AI and LLMs. - Build end-to-end Gen AI solutions including chatbots, intelligent search, document processing, and content generation tools. - Implement RAG (Retrieval-Augmented Generation) pipelines with vector stores and embedding models. - Design and optimize prompt engineering workflows for various LLM-based use cases. - Integrate Gen AI capabilities with enterprise systems, databases, and cloud services. - Write clean, modular, and well-documented Python code following best practices and coding standards. - Collaborate with data scientists, ML engineers, and product teams to deliver scalable AI solutions. - Perform code reviews, unit testing, and debugging to ensure high-quality deliverables. Must-Have Skills - Strong proficiency in Python (advanced-level) with experience in building production-grade applications. - Hands-on experience with Gen AI frameworks LangChain, LlamaIndex, Semantic Kernel, or similar. - Working knowledge of Large Language Models (LLMs) OpenAI GPT, Azure OpenAI, LLaMA, Mistral, etc. - Experience with RAG pipelines, embeddings, and vector databases (FAISS, Pinecone, ChromaDB, Weaviate). - Solid understanding of prompt engineering, few-shot/zero-shot learning, and chain-of-thought prompting. - Experience with REST APIs, FastAPI/Flask, and microservices architecture. - Familiarity with cloud platforms (Azure, AWS, or GCP) and CI/CD pipelines. Good-to-Have Skills - Experience with Streamlit, Gradio, or similar tools for building AI demos and prototypes. - Knowledge of SQL and NoSQL databases for data retrieval and storage. - Exposure to containerization (Docker) and orchestration tools. - Familiarity with Agile/Scrum development methodologies. JD 2: Gen AI + Data Science Specialist Note Applicants should have hands-on experience in Gen AI + Python and knowledge of Large Language Models (LLMs), RAG pipelines, embeddings, and prompt engineering. Practical experience with AI-driven and GenAI applications is preferred. Key Responsibilities - Apply advanced statistical methods, machine learning, and Gen AI techniques to solve complex business problems. - Build and deploy Gen AI solutions such as intelligent document processing, automated report generation, and AI-powered analytics. - Develop and optimize RAG pipelines, embeddings, and LLM-based workflows for data-centric applications. - Perform exploratory data analysis (EDA), feature engineering, and predictive modeling on large-scale datasets. - Design prompt engineering strategies and fine-tune LLMs for domain-specific data science tasks. - Create interactive dashboards, visualizations, and data stories for stakeholders and leadership. - Collaborate with engineering and product teams to operationalize data science models and Gen AI solutions. - Stay current with emerging trends in Gen AI, NLP, and advanced analytics to drive innovation. Must-Have Skills - Robust expertise in Data Science statistical modeling, hypothesis testing, regression, clustering, and classification. - Hands-on experience with Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn). - Working knowledge of Generative AI, Large Language Models (LLMs), and NLP techniques. - Experience with RAG pipelines, embeddings, vector databases, and prompt engineering. - Proficiency in SQL and experience working with structured and unstructured data. - Experience with data visualization tools (Power BI, Tableau, or Plotly). - Familiarity with cloud-based AI/ML services (Azure AI, AWS SageMaker, or GCP Vertex AI). Good-to-Have Skills - Experience with LangChain, LlamaIndex, or similar Gen AI orchestration frameworks. - Knowledge of Deep Learning frameworks (TensorFlow, PyTorch) for advanced modeling. - Exposure to big data technologies (Spark, Databricks, or Hadoop). - Experience with A/B testing, experimentation design, and causal inference. We have an exciting opportunity that aligns with your experience in Gen AI / AI-ML domain. Please find the details below: Experience: 4 to 15yrs Notice Period: Open JD 1: Gen AI + Python Developer Note Applicants should have hands-on experience in Gen AI + Python and knowledge of Large Language Models (LLMs), RAG pipelines, embeddings, and prompt engineering. Practical experience with AI-driven and GenAI applications is preferred. Key Responsibilities - Develop and maintain Python-based applications and APIs powered by
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