Job Description

Job Summary

We are seeking a highly skilled Data Science Lead with hands-on experience in Generative AI, Retrieval-Augmented Generation (RAG), and machine learning model development. The ideal candidate will design scalable AI systems, optimize chunking and retrieval strategies, manage vector databases, and fine-tune large language models (LLMs) for enterprise applications.

Key Responsibilities

Lead the design and deployment of RAG-based GenAI systems using LLMs and embeddings
Develop and optimize chunking strategies for improved retrieval and context relevance
Fine-tune transformer-based models (e.g., GPT, LLaMA, Mistral) using LoRA, PEFT, or full-model training
Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search
Build and evaluate machine learning models for classification, regression, clustering, and recommendation systems
Collaborate with engineering teams to integrate ML and GenAI pipelines into production
Define and monitor performance metrics for model accuracy, latency, and scalability
Stay updated with the latest research in GenAI, LLMs, and MLOps
Mentor junior data scientists and contribute to technical leadership

Required Skills & Tools

Programming : Python, SQL
ML Libraries : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch
GenAI Frameworks : Hugging Face Transformers, LangChain, OpenAI API
Vector Databases : FAISS, Pinecone, Weaviate, Qdrant
LLM Fine-Tuning : LoRA, PEFT, RLHF, prompt tuning
Data Engineering : Pandas, NumPy, Spark
Deployment : FastAPI, Docker, Kubernetes, CI/CD
Cloud Platforms : AWS, GCP, Azure
Strong problem-solving and communication :
Bachelors or Masters degree in Computer Science, Data Science, AI, or related field
5 - 7 years of experience in data science, NLP, or machine learning
Proven track record of building and deploying ML and GenAI applications

Preferred Attributes

Experience with open-source LLMs (e.g., Mistral, LLaMA, Falcon)
Familiarity with semantic search, prompt engineering, and retrieval optimization
Contributions to AI research or open-source projects
Certification in Generative AI, NLP, or ML (e.g., DeepLearning.AI, Hugging Face)

(ref:hirist.tech)

Interview Questions of Interesting Job Opportunity: Data Science Lead - Generative AI at Jasper Colin

Currently, there aren't any interview questions for this role at Jasper Colin shared by other job seekers.

View more interview questions of similar roles from other companies →

Salary Insights of Interesting Job Opportunity: Data Science Lead - Generative AI at Jasper Colin

Currently, there aren't any salaries for this role at Jasper Colin shared by other job seekers.

View more salaries from Jasper Colin →