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Trinity Life Sciences
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Associate Consultant - Data Science

Associate Consultant - Data Science

Trinity Life Sciences

3 - 5 years

0 Lacs

Bengaluru Karnataka India

Posted:8 hours ago| Platform:

Apply

Skills Required

data learning ml ai design development deployment regression clustering optimization algorithms summarization analysis content integration research scalability programming python retrieval openai engineering tuning azure healthcare communication management collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

Description

Job Title: GenAI Application Engineer (Associate Consultant)

Location:

Bangalore / Chennai / NCR (Hybrid)

Experience:

3.5 to 5.5 years

Employment Type:

Full-time

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).

Qualifications

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.

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