Data Scientist

4 days ago

Noida, Uttar Pradesh, India BIG Language Solutions Full time

Job Description – Data Scientist

  • Design, build, and maintain robust and scalable applications using Python and advanced AI frameworks.
  • Develop complex, multi-step workflows and autonomous systems using LLM Orchestrators like LangChain, LlamaIndex, or Semantic Kernel.
  • Integrate AI models and agentic systems with our existing data pipelines, APIs, and infrastructure.
  • Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact AI features.
  • Establish AI Development Standards: Design and implement industry best practices for building, testing, and deploying scalable AI Agents (RAG, Prompting, Chat Completion, Multi-agent, Fine-Tuning), particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks.
  • Stay Ahead of Industry Trends: Continuously research and adopt the latest advancements in AI, ML, and generative models to drive innovation and operational improvements.
  • Engage in Cross-Team Collaboration: Partner with stakeholders across data science, engineering, operations, and business teams to align AI initiatives with broader organizational goals.
  • Train and manage the inference of deep learning models (Bert/Roberta/XL-Net/T4REC) and locally hosted LLMs (Llama/Qwen/Mistral)
  • Manage model training, serving and response times at scale by techniques like model quantisation, QAT (quantisation aware training), speculative decoding, flash attention etc

Required Qualifications

  • Bachelor's degree in Computer Science, AI, Engineering, or a related technical field.
  • 2 - 5 years of professional software development experience with a strong proficiency in Python.
  • Demonstrated hands-on experience working with LLMs (e.g., GPT series, Llama, Claude, Gemini) via APIs or open-source models.
  • Proven experience building applications with an LLM Orchestrator framework (LangChain, LlamaIndex, etc.).
  • Solid understanding of AI Agent architectures and concepts like ReAct (Reasoning and Acting).
  • Strong analytical and problem-solving skills, with a passion for building intelligent systems.

Preferred Qualifications

  • Experience with cloud platforms like Azure, AWS, or GCP.
  • Experience with MLOps practices and tools for deploying and monitoring models in production.
  • Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
  • Active contributions to open-source AI/ML projects

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