Data Scientist
5 days ago
• Design, develop, and deploy AI/ML solutions with a focus on Generative AI (e.g., LLMs, prompt engineering) and Agentic AI frameworks.
• Collaborate with clients and internal stakeholders to understand business needs and translate them into AI solutions.
• Prototype and implement intelligent agent-based systems for automation, decision-making, and conversational interfaces.
• Build proof-of-concepts (POCs), MVPs, and production-ready solutions in real-world business environments.
• Work on data preparation, model fine-tuning, and evaluation of large language models (LLMs).
• Present insights, solutions, and progress to clients in a clear and consultative manner.
• Stay current with AI trends and contribute to internal knowledge-sharing and innovation.________________________________________Required Qualifications:
• 2+ years of experience in Data Science, with hands-on exposure to Generative AI and LLMs (e.g., OpenAI, Cohere, Hugging Face).
• Experience with Agentic AI concepts or frameworks like LangChain, AutoGen, CrewAI, or similar.
• Strong Python programming skills and familiarity with ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Consulting or client-facing experience with the ability to translate business needs into technical requirements.
• Good understanding of NLP, prompt engineering, and conversational AI workflows.
• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related fields.________________________________________Preferred Qualifications:
• Experience in building AI solutions for enterprise clients.
• Familiarity with MLOps and deploying models to production.
• Prior experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) techniques.________________________________________What We Offer:
• Exciting projects at the intersection of AI, automation, and enterprise transformation.
• A collaborative and fast-paced environment focused on innovation.
• Opportunities for continuous learning and professional growth.
• Flexible working model with Jaipur as the base location.
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