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Fractal
Fractal
1.001 – 5.000 Angajați
Sponsor pentru viza H1BAsistență medicalăLogisticăMarketing
Fractal oferă soluții de inteligență artificială, inginerie și design pentru luarea deciziilor în cadrul întreprinderilor, deservind companii din clasamentul Fortune 500 din industrii precum marketing, sănătate și logistică. Expertiza sa acoperă analiza de marketing, analiza avansată, analiza predictivă și analiza clienților, susținute de produse precum Crux Intelligence, Eugenie.ai, Asper.ai și Senseforth.ai. Cu peste 4.000 de angajați în locații din întreaga lume, Fractal reunește capacități de analiză și inteligență artificială pentru organizațiile care caută abordări bazate pe date pentru provocări de afaceri complexe.
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Principal Data Scientist – Generative AI

Lead secure, scalable Generative AI architecture using LLMs, RAG, AI agents, and cloud platforms. Shape AI transformation for enterprise clients through solution design, governance, and executive stakeholder leadership.

INIndiaLa sediuNormă întreagăLiderLimbă Obligatorie: englezăSpecialist în știința datelor
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQL

Descriere

  • Design end-to-end Generative AI architectures spanning LLMs, RAG, AI agents, vector databases, and multimodal models
  • Define AI solution architectures that balance scalability, security, and cost
  • Produce technical blueprints, architecture diagrams, and deployment plans
  • Assess and recommend AI platforms, frameworks, and cloud services
  • Architect solutions with GPT, Claude, Gemini, Llama, Mistral, and other open-source LLMs
  • Develop strategies for prompt engineering, fine-tuning, and model optimization
  • Build retrieval-augmented generation pipelines with vector databases
  • Implement AI agents and orchestration frameworks
  • Design AI solutions across AWS, Azure, and Google Cloud
  • Create MLOps and LLMOps pipelines for deployment, monitoring, and governance
  • Design for high availability, scalability, and strong system performance
  • Translate business requirements into practical technical solutions
  • Lead client workshops, discovery sessions, and architecture reviews
  • Contribute to pre-sales work, RFP responses, demonstrations, and proposals
  • Present AI strategies and solution roadmaps to executives and other stakeholders
  • Establish responsible AI practices and governance frameworks
  • Address model security, privacy, compliance, and risk considerations
  • Define monitoring, observability, and evaluation frameworks for AI systems
  • Maintain alignment with enterprise architecture standards
  • Mentor and guide data scientists, ML engineers, and software teams
  • Review solution designs and implementation approaches
  • Track emerging Generative AI technologies and industry developments
  • Advance organizational innovation and AI adoption

Cerințe

  • Bachelor’s or master’s degree in computer science, artificial intelligence, data science, or a related discipline
  • 8–15+ years of experience in software engineering, cloud architecture, or AI
  • 3–5+ years designing AI/ML solutions and architectures
  • Expertise in Generative AI, LLMs, RAG, and AI agents
  • Strong knowledge of machine learning and deep learning
  • Proficiency with Python, SQL, and REST APIs
  • Experience with LangChain, LangGraph, LlamaIndex, and CrewAI
  • Experience with Pinecone, Weaviate, Chroma, and Milvus vector databases
  • Experience across AWS, Azure, and GCP
  • Knowledge of Docker, Kubernetes, and CI/CD
  • Experience with MLOps and LLMOps
  • Understanding of data architecture and data engineering
  • Knowledge of AI security and governance
  • Strong solution design and architectural thinking
  • Effective client-facing communication
  • Stakeholder management experience
  • Leadership and mentoring capability
  • Strong problem-solving and decision-making skills
  • Presentation and consulting experience
  • Relevant certifications preferred, including AWS Solutions Architect, Azure AI Engineer or Azure Solutions Architect, Google Professional Cloud Architect, and Databricks or Snowflake certifications

Beneficii

  • No specific benefits or additional compensation are provided

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