Praca Senior Data Scientist w Lingaro

Senior Data Scientist

Lingaro

Lokalizacja:
Poland

Kategoria:
IT - Software Development

Typ umowy:
Nie podano

Wynagrodzenie:

Nie podano

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Opis stanowiska:

We are looking for a highly skilled and experienced GenAI Expert/Tech Lead with solid expertise in Generative AI (GenAI) to guide our teams & projects in building and implementing advanced systems based on Large Language Models (LLMs), chatbots, AI agents, and Retrieval-Augmented Generation (RAG) mechanisms. As a GenAI Expert/Tech Lead, you will be responsible for designing, implementing, and optimizing GenAI solutions, as well as mentoring the engineering team. Your knowledge and experience will be crucial in making architectural decisions, selecting technologies, and implementing best practices in AI-driven development.

Obowiązki:

Lead the technical design and end-to-end development of AI solutions that align with business goals and technical standards
Design and build high-performing, scalable, enterprise-grade LLM/AI applications in cloud environments
Mentor the development team, conduct code reviews, and implement engineering best practices
Collaborate closely with AI Engineering and Data Science teams to deliver effective and efficient AI solutions
Make architectural decisions regarding AI solutions and frameworks
Define and implement best practices in GenAI/ML models lifecycle and ML operations/LLM operations
Optimize AI models and systems, analyze performance, and scale solutions in cloud environments
Gather technical requirements and estimate planned work
Ensure code compliance with best practices in AI solutions development
Create technical documentation
Present solutions, concepts, and results to internal and external clients

Wymagania:

10+ years of experience in AI/software engineering, including a minimum of 4 years in a Tech Lead role
At least 6+ years of experience in production-ready Python AI-related code development
At least 2+ years of experience in production-ready LLM-related code development, preferably based on the Retrieval-Augmented Generation (RAG) concept
Advanced knowledge of AI frameworks and experience leading AI projects from design through to implementation
Strong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications
Strong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms
Deep understanding of LLM evaluators, validators, and guardrails
Proficiency in LLMOps concepts such as GenAI operationalization and scaling (e.g., LLMs serving, performance & API Gateways, LLMs tracking & monitoring)
Excellent knowledge of Python, SQL, and GenAI frameworks (e.g., LangChain, LangGraph, vector databases)
Experience in building and deploying production-ready systems based on microservices
Solid understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model lifecycle, AI architectures
Proven ability to collaborate effectively across technical and non-technical teams
Familiarity with cloud environments such as Azure (preferred), GCP, or AWS, including AI-related managed services
Familiarity with CI/CD, testing, and containerized deployments
A collaborative approach to leadership, with experience mentoring and guiding diverse technical teams
Excellent communication skills in English, with the ability to convey complex technical concepts to various audiences

Mile widziane:

Experience in designing and programming ML algorithms and data processing pipelines using Python
Good understanding of CI/CD and DevOps concepts, with experience working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)
Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes

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