Consultant - Data Science
Trinity Life Sciences
Date: 2 weeks ago
City: Bengaluru, Karnataka
Contract type: Full time
DescriptionDescription
Job Title: GenAI Application Engineer (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:
Preferred Qualifications:
Job Title: GenAI Application Engineer (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.
- 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.
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