Experis

Generative AI Specialist

190 - 200 PLN/ godz./ godz.B2BB2B (netto)

MidZdalnie·Chandler, ColoradoFull-time·B2B

#265194·Dodano 10 miesięcy temu·4

Źródło: Experis

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Tech Stack / Keywords

Generative AIAIDatabasesLlamaMLOpsCI/CDSecurityData Science

Firma i stanowisko

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

Wymagania

Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experience.
3–5+ years building AI/ML or NLP systems; 1–3+ years hands-on experience with LLMs and generative AI.
Proficiency in Python or TypeScript/JavaScript; experience with model APIs (OpenAI, Azure OpenAI, AWS Bedrock), vector databases (Pinecone, FAISS, Chroma, Weaviate), and cloud platforms (Azure, AWS, GCP).
Practical knowledge of RAG, embeddings, prompt engineering, and evaluation frameworks.
Experience integrating AI into applications such as web, mobile, chat, or agent frameworks.

Nice to have:

Fine-tuning/instruction tuning experience; familiarity with transformers and modern LLM stacks.
Knowledge of data governance, privacy, Responsible AI, and security best practices.
Experience with MLOps tools (MLflow, DVC), feature stores, and observability tools (LangSmith, Helicone, Arize).
Domain experience in areas like customer support, knowledge management, content generation, analytics, or software development productivity.

Obowiązki

Translate business problems into AI use cases and develop architectures leveraging LLMs, embeddings, retrieval-augmented generation (RAG), and prompt engineering.
Evaluate and integrate foundation models such as GPT-family, Claude, Llama, and Mistral via APIs or on-prem frameworks; fine-tune or instruct models when appropriate.
Implement vector stores, index enterprise content, and establish guardrails, prompt templates, and evaluation loops for trustworthy outputs.
Establish offline and online evaluations (accuracy, latency, toxicity, bias) and apply content filtering, governance, and safety policies.
Instrument usage analytics, prompt/version management, model monitoring, and cost tracking; automate deployments via CI/CD.
Collaborate cross-functionally with Product, Legal, Security, and Data teams to prioritize features and meet compliance requirements.
Create reusable prompts/components, patterns, and developer guides; support internal training and adoption.

Benefity

100% remote work.
Multisport card.
Private healthcare system.
Life insurance.
Access to PowerYou platform.

Karta sportowa

Opieka zdrowotna

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Experis

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