Consultant - Data Science

Role Overview: As a GenAI Application Engineer (Consultant) in our company, you will be responsible for designing, developing, and deploying AI-driven solutions across various business use cases. You will work with traditional Machine Learning (ML) models and have hands-on experience in Generative AI (GenAI) applications. Key Responsibilities: - Design and implement ML models, such as regression, classification, clustering, and optimization algorithms. - Build and deploy GenAI applications using LLMs for tasks like summarization, sentiment analysis, and content generation. - Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes. - Conduct research on emerging GenAI technologies and frameworks like LangChain and LlamaIndex. - Fine-tune and optimize models for performance, scalability, and accuracy. - Develop and maintain robust data pipelines and workflows. - Stay updated with the latest advancements in AI, ML, and NLP. Qualification Required: - Strong programming skills in Python. - Solid understanding of traditional ML models and statistical techniques. - Proficiency in GenAI tools and technologies like LLMs, RAG, OpenAI APIs, LangChain, Streamlit, and vector databases. - Hands-on experience with LLMs and GenAI tools such as OpenAI and HuggingFace. - Familiarity with prompt engineering and LLM fine-tuning. - Exposure to cloud platforms, with Azure being preferred. Additional Details: No additional details provided in the job description.,