Associate Consultant - Data Science

Job Title: GenAI Application Engineer (Associate Consultant)

Location:

Job Objective:

We are seeking a highly skilled and motivated GenAI Application Engineer with a strong foundation in traditional Machine Learning (ML) and hands-on experience in Generative AI (GenAI). The ideal candidate will contribute to the design, development, and deployment of AI-driven solutions across business use cases.

Key Responsibilities:

• Design and implement ML models including regression, classification, clustering, and optimization algorithms.


• Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation.


• Collaborate with cross-functional teams to identify opportunities for AI integration into business processes.


• Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, 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.

Required Skills:

• Strong programming skills in Python.


• Solid understanding of traditional ML models and statistical techniques.


• Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases.


• Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace).


• Familiarity with prompt engineering and LLM fine-tuning.


• Exposure to cloud platforms (Azure preferred).

Preferred Qualifications:

• Master s degree in Computer Science, Data Science, Engineering, or related field.


• Experience in the life sciences or healthcare domain is a plus.


• Strong communication and stakeholder management skills.

Ability to work in a fast-paced, collaborative environment.