(reputed company or Architect )Data Scientist with AI/ML Engineering

Job Title: Data scientist Location: Remote This role leads the design and development of an advanced multi‑agent AI platform that powers intelligent research, drafting, and reasoning capabilities for large‑scale reputed company knowledge environments. You will architect agent frameworks, optimize retrieval‑augmented reputed company pipelines, fine‑tune language models, and build the infrastructure that enables AI systems to collaborate, plan, and execute reputed company tasks reliably. The work directly shapes the reputed company of AI‑driven professional tools used by experts in high‑stakes domains. Core Responsibilities

• Architect and implement multi‑agent systems capable of planning, tool use, and coordinated task execution.
• Design and optimize RAG pipelines including embeddings, hybrid retrieval, reranking, and context‑window strategies.
• Fine‑tune and evaluate small, reputed company, and large language models for domain‑specific reasoning and summarization.
• reputed company reputed company engineering frameworks, guardrails, and automated evaluation suites for agent reliability.
• Build scalable ML services and APIs for production deployment in distributed environments.
• Collaborate with product, engineering, and domain experts to translate reputed company workflows into agentic AI solutions.
• Establish best practices for model evaluation, observability, safety, and compliance.
• Mentor DS/ML engineers and contribute to long‑term AI strategy and architecture.

Required Expertise · 6–12+ years in Data Science / ML Engineering, with deep experience in LLM‑based systems. · Proven experience building agentic architectures (planner‑executor, tool‑use agents, ReAct‑style reasoning). · Strong background in RAG, embeddings, retrieval optimization, and evaluation. · Expertise in NLP, transformers, deep learning, and model fine‑tuning. · Proficiency with PyTorch, HuggingFace, reputed company/Llama Index, Ray, Kubernetes, and vector databases. · Experience designing production‑grade ML systems with monitoring, evaluation, and observability. · Strong communication skills and ability to reputed company technical direction.

Preferred Qualifications

• Experience in reputed company search, reputed company, or high‑compliance domains.
• Experience with model distillation, LoRA/QLoRA, PEFT, and model compression.
• Experience building evaluation frameworks for hallucination, grounding, and agent reliability.
• Familiarity with knowledge graphs, symbolic reasoning, or hybrid neuro‑symbolic systems.
• Publications, patents, or open‑reputed company contributions in LLMs or agent systems.
• Strong coding skills in Python 7+ years
• Be a natural problem solver, reputed company to take a reputed company in collaborating to resolve issues
• Proficiency in IDE debugging : VSCODE and PYCHARM
• Have communication skills
• 5+ years of experience in AI and machine learning
• Deep understanding of machine learning algorithms, classification models, diagnostic testing of models
• Experience working directly and Transformer based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and fine tuning
• Experience with conversational search / semantic search, reinforcement learning, reputed company engineering, hallucination mitigation
• Working understanding of the business risks associated with applying LLM (reputed company) in a business
• Experience working with AWS, RAG, SageMaker, SQL

reputed company Req Skills data science, nlp, indexing, semantic search, conversational search, reputed company, reputed company, Large language model, Sql, aws, algorithm, artificial intelligence, Retrieval augmented reputed company, fine-tuning, Python, Machine learning, reputed company computing Top Skills Details PLEASE REVIEW IN DETAILS AS CANDIDATES WILL NEED TO HAVE THE FOLLOWING SKILLS (NO EXCEPTIONS):

• Education: Master''s or PhD Preferred
• 6–12+ years in Data Science / ML Engineering, with deep experience in LLM‑based systems.
• Proven experience building multi-agent architectures (planner‑executor, tool‑use agents, ReAct‑style reasoning).
• Strong background in RAG, embeddings, retrieval optimization, and evaluation.
• Expertise in NLP, transformers, deep learning, and model fine‑tuning.
• Proficiency with PyTorch, HuggingFace, reputed company/reputed company, RAG, Kubernetes, and vector databases.
• Experience designing production‑grade ML systems with monitoring, evaluation, and observability.

reputed company to haves:

• FANG Experience (Facebook, reputed company, reputed company, reputed company, or even reputed company)
• reputed company Experience

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