Senior AI Engineer
- Belgrad
- Kluż-Napoka
- Kraków
- Larnaka
- Łódź
- Lublin
- Monterrey
- Montevideo
- Remote.AR
- Remote.Brazil
- Remote.Bulgaria
- Remote.Colombia
- Remote.Georgia
- Remote.Poland
- Rosario
- Ryga
- Sofia
- Tbilisi
- Warna
- Warszawa
- Wrocław
Jeśli otrzymałeś tę ofertę pracy od naszych rekruterów, zapoznaj się z naszą Polityką prywatności.
Project overview
Position overview
We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.
We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.
Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.
We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices.
Responsibilities
- Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives
- Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices
- Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value
- Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies
- Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups
Requirements
- Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects
- Practical experience in AI roles such as Consultant or AI Solution Architect
- Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
- Demonstrable hands-on experience implementing AI/ML solutions in a business context
- Proven experience with at least one major cloud platform (AWS, GCP, or Azure)
- Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain
- A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models
- Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations
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Co oferujemy
Dni wolne
Zgodne z lokalnym prawem
Dbamy o Twoje zdrowie
Zapewniamy szeroki wachlarz usług w ramach prywatnego ubezpieczenia medycznego
Płatne chorobowe
Zgodnie z lokalnym prawem
Wakacje i specjalne dni wolne
Zgodnie z oficjalnym kalendarzem, niezależnie od kalendarza klienta
Komfortowe warunki pracy
Elastyczny czas pracy oraz pomoc w wyposażeniu komfortowego miejsca pracy
Wewnętrzna platforma edukacyjna
Dostęp do profesjonalnych kursów i szkoleń
Wewnętrzne kursy języka angielskiego
Firmowe szkolenia z wysoko wykwalifikowanymi nauczycielami
