Fractal Labs

5 days ago

Data Scientist_5

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build production-grade generative AI applications powered by LLMs, including agentic chatbots, semantic search, contextual assistants, and document summarizers. Fine-tune foundation models for domain tasks, design and implement RAG frameworks, and integrate AI assistants with internal systems via APIs. Own evaluation and governance with benchmarking for accuracy and hallucinations, partnering with AI Governance and MLOps to enable scalable, auditable deployments.

Location: California

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop LLM-powered applications such as agentic chatbots, smart search, contextual recommendation systems, and document summarizers.
•Fine-tune open-source and proprietary foundation models (e.g., GPT, LLaMA, Claude) for domain-specific tasks using best practices.
•Implement Retrieval-Augmented Generation (RAG) frameworks and integrate AI assistants with internal systems and APIs for multi-step reasoning and tool usage.
•Evaluate emerging GenAI tools and frameworks and incorporate them into scalable architectures.
•Design evaluation and benchmarking pipelines for LLM outputs and partner with AI Governance and MLOps teams to enable responsible, auditable deployments.

Pay and Benefits

Salary: USD 150,000 - 170,000 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid HolidaysParental LeavePaid Leave

Key Requirements

•Strong hands-on experience working with LLMs (e.g., GPT-4, LLaMA, Claude, PaLM) and frameworks such as Hugging Face, LangChain, LlamaIndex, or Haystack.
•Experience designing and implementing agent-based architectures for autonomous task execution.
•Solid foundation in NLP techniques including embeddings, vector databases, text classification, summarization, and QA systems.
•Proficiency in Python and ML libraries such as PyTorch, TensorFlow, and scikit-learn, plus experience with AWS/GCP/Azure and containerization (Docker, Kubernetes).
•Ability to deliver scalable GenAI solutions in enterprise environments and communicate effectively across technical and business stakeholders.

Experience:Generative AILLMsEnterprise AINLP

Education:Master's in Computer Science, AI, Data Science

Skills:CommunicationProblem-solvingCollaborationTechnical mentorshipCross-functional partnership

Tech Stack:PythonPyTorchTensorFlowScikit-learnAWSGCPAzureDockerKubernetesHugging FaceLangChainLlamaIndexHaystackGPT-4LLaMAClaudePaLMRAGFew-shot learningPrompt tuning

Company Brief

Fractal Labs

Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn

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Fractal Labs

5 days ago

Data Scientist_5

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: California

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop LLM-powered applications such as agentic chatbots, smart search, contextual recommendation systems, and document summarizers.
•Fine-tune open-source and proprietary foundation models (e.g., GPT, LLaMA, Claude) for domain-specific tasks using best practices.
•Implement Retrieval-Augmented Generation (RAG) frameworks and integrate AI assistants with internal systems and APIs for multi-step reasoning and tool usage.
•Evaluate emerging GenAI tools and frameworks and incorporate them into scalable architectures.
•Design evaluation and benchmarking pipelines for LLM outputs and partner with AI Governance and MLOps teams to enable responsible, auditable deployments.

Pay and Benefits

Salary: USD 150,000 - 170,000 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid HolidaysParental LeavePaid Leave

Key Requirements

•Strong hands-on experience working with LLMs (e.g., GPT-4, LLaMA, Claude, PaLM) and frameworks such as Hugging Face, LangChain, LlamaIndex, or Haystack.
•Experience designing and implementing agent-based architectures for autonomous task execution.
•Solid foundation in NLP techniques including embeddings, vector databases, text classification, summarization, and QA systems.
•Proficiency in Python and ML libraries such as PyTorch, TensorFlow, and scikit-learn, plus experience with AWS/GCP/Azure and containerization (Docker, Kubernetes).
•Ability to deliver scalable GenAI solutions in enterprise environments and communicate effectively across technical and business stakeholders.

Experience:Generative AILLMsEnterprise AINLP

Education:Master's in Computer Science, AI, Data Science

Skills:CommunicationProblem-solvingCollaborationTechnical mentorshipCross-functional partnership

Tech Stack:PythonPyTorchTensorFlowScikit-learnAWSGCPAzureDockerKubernetesHugging FaceLangChainLlamaIndexHaystackGPT-4LLaMAClaudePaLMRAGFew-shot learningPrompt tuning

Company Brief

Fractal Labs

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn