GFT Technologies
GFT Technologies
GFT Technologies ir tehnoloģiju un digitālās transformācijas uzņēmums, kas darbojas konsultāciju, apdrošināšanas un kiberdrošības jomā. Tā Cookiebot platforma palīdz organizācijām vākt un pārvaldīt lietotāju piekrišanas, vienlaikus atbalstot privātuma regulējuma, tostarp GDPR un CCPA, ievērošanu. Uzņēmuma risinājumi ir izstrādāti integrēšanai esošajās digitālajās vidēs, un tos visā pasaulē izmanto vairāk nekā 600 000 klientu, lai personas datus apstrādātu ar lielāku pārskatāmību un kontroli.

Senior Data Scientist, Generative AI — GFT Technologies (Remote)

Lead GFT Technologies’ generative AI initiatives with Azure AI Foundry, building agents, enterprise copilots, and RAG architectures from discovery through production.

Apraksts

  • Lead the design and delivery of generative AI solutions with LLMs on Azure AI Foundry, from discovery through production.
  • Build and orchestrate AI agents with Azure AI Foundry Agent Service and Copilot Studio, including multi-agent architectures.
  • Develop enterprise copilots and assistants in Copilot Studio, connecting plugins, connectors, actions, and business systems.
  • Design RAG solutions with Azure AI Search, embeddings, and grounding against corporate knowledge.
  • Establish LLMOps standards with Azure AI Foundry and Prompt Flow for model and prompt versioning, evaluation, deployment, and monitoring.
  • Apply Responsible AI and Azure AI Content Safety practices to support observability, security, and governance.
  • Review technical work and mentor mid-level and junior engineers as the discipline’s technical reference.
  • Convert business needs into AI and copilot use cases while contributing to architecture decisions.

Prasības

  • 6–8 years of experience in AI engineering or AI-based solution development, including technical leadership.
  • Advanced Python skills for AI solutions and API integrations.
  • Hands-on experience with generative AI and large language models.
  • Strong experience with Azure AI Foundry, including its model catalog, Prompt Flow, evaluation, and deployment.
  • Experience building enterprise copilots and agents with Copilot Studio.
  • Experience developing and orchestrating AI agents, including multi-agent architectures.
  • Experience with RAG architectures, Azure AI Search, embeddings, vector search, and grounding.
  • Knowledge of LLMOps for deploying AI solutions in enterprise environments.
  • Strong technical communication and mentoring abilities.
  • Microsoft AI-102 or AZ-305 certification is a plus.
  • Knowledge of Microsoft Fabric Data Agents is a plus.
  • Experience with Semantic Kernel or equivalent frameworks is a plus.
  • In-depth knowledge of Responsible AI, security, and governance is a plus.
  • Experience in the financial sector or regulated environments is a plus.
  • English proficiency for working in a global environment is a plus.

Priekšrocības

  • Flexible multi-benefit card for choosing how and where to use the allowance.
  • Scholarships for undergraduate, graduate, MBA, and language studies.
  • Programs that support professional certifications.
  • Flexible working hours.
  • Competitive salary packages.
  • Annual performance reviews with a structured career development plan.
  • Opportunities for international career growth.
  • Wellhub and TotalPass memberships.
  • Private pension plan.
  • Childcare assistance.
  • Medical insurance.
  • Dental and life insurance.
  • fields

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