Job Title: Data Scientist
Experience: 4+ Years
Location: Bangalore (On-site – 5 Days a Week)
Employment Type: Full-Time
(Strong GenAI, python, ML)
About the Role:
We are looking for a highly experienced and driven Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and machine learning systems. This is a critical role where you will help design, build, and optimize advanced AI/ML solutions that power intelligent products and platforms.
As a senior member of the AI team, you will work on state-of-the-art NLP models, contribute to the architecture of GenAI systems, and bring research to production in a fast-paced and collaborative environment.
Key Responsibilities:
- Design and implement scalable AI/ML models, with a focus on LLMs and Generative AI use cases.
- Fine-tune and deploy foundation models (e.g., GPT, LLaMA, Mistral) using Python and modern ML frameworks.
- Lead research, experimentation, and prototyping of new ML algorithms and NLP approaches.
- Collaborate with data scientists, MLOps engineers, and product teams to integrate AI capabilities into real-world applications.
- Develop APIs and end-to-end ML pipelines for training, testing, and deployment.
- Stay current with emerging trends in artificial intelligence and apply best practices in production environments.
Required Skills:
- 9+ years of experience in Artificial Intelligence, Machine Learning, and Python programming.
- Hands-on expertise in Generative AI and Large Language Models (LLMs).
- Strong knowledge of frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
- Experience with prompt engineering, fine-tuning, and inference optimization of LLMs.
- Solid understanding of NLP, deep learning architectures, and model performance evaluation.
- Experience working with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures.
- Proven ability to translate complex research into scalable applications.
Good to Have:
- Exposure to LangChain, OpenAI APIs, Anthropic Claude, or other commercial LLM ecosystems.
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices (Docker, MLFlow, CI/CD).
- Prior experience mentoring junior engineers or leading AI project teams.
- Contributions to open-source AI projects or published research in the AI/ML domain.
Skills Required
- 9+ years of experience in Artificial Intelligence and Machine Learning
- Proficiency in Python programming
- Hands-on expertise in Generative AI and Large Language Models (LLMs)
- Strong knowledge of PyTorch, TensorFlow, and Hugging Face Transformers
- Experience with prompt engineering, fine-tuning, and inference optimization for LLMs
- Solid understanding of NLP and deep learning architectures
- Experience with vector databases (FAISS, Pinecone) and RAG architectures
- Proven ability to translate research into scalable, production-ready applications
- Experience designing and deploying ML pipelines, APIs, and production systems
- Exposure to LangChain, OpenAI APIs, Anthropic Claude
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools (Docker, MLFlow, CI/CD)
- Prior experience mentoring junior engineers or leading AI project teams
- Contributions to open-source AI projects or published research
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
