We are seeking a highly skilled AI/ML Data Scientist with 8 years of experience to design and implement cutting-edge AI solutions. The ideal candidate will have strong expertise in developing LLM-based chatbots, Retrieval-Augmented Generation (RAG), text-to-SQL applications, and document processing workflows. Familiarity with state-of-the-art models such as GPT-4, Gemini, and open-source LLMs is essential.
Responsibilities:
- Experience Level: 8 - 12 Years
- AI/ML Model Development:
- Design, fine-tune, and deploy LLMs (e.g., GPT-4, Gemini, and open-source models) for chatbot and NLP applications.
- Implement Retrieval-Augmented Generation (RAG) for efficient information retrieval from large datasets.
- Data Processing & Text-to-SQL:
- Build text-to-SQL pipelines to enable natural language queries for structured databases.
- Process structured and unstructured data for applications such as classification, extraction, and summarization.
- Document Processing:
- Automate document workflows, including ingestion, classification, and data extraction, using advanced AI techniques.
- Python Development:
- Write scalable and efficient Python code for data pipelines, ML models, and integration with production systems.
- Model Deployment:
- Deploy and monitor AI/ML models using MLOps best practices.
- Optimize and refine deployed models based on feedback and performance metrics.
- Collaboration:
- Work closely with cross-functional teams, including data engineers and developers, to deliver business-aligned AI solutions.
Qualifications:
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- 8 years of hands-on experience in AI/ML, NLP, RAG, chatbot development, and LLM applications.
- Expertise in working with LLMs and write Prompts to build LLM based applications (e.g., GPT-4, Gemini, Mixtral etc).
- Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
- Advanced skills in NLP techniques, text-to-SQL solutions, and document processing workflows.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Openshift, Kubernetes).
- Knowledge of MLOps frameworks for model deployment and lifecycle management.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Bachelor’s or Master’s in Computer Science, Data Science, AI, or a related field.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Gen AI
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Job Family Group:
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Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
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Other Relevant Skills
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