Data Science Tech Lead
1 tydzień temu
At Madiff , we connect top IT talent with cutting-edge companies through remote Agile teams and nearshore outsourcing. With operations in Poland, Portugal, France, and the UK , we specialize in AI, DevOps, Cybersecurity , supporting industries like Telecom, Banking, and Hi-Tech .
Are you ready to lead a team of AI experts, designing cutting-edge solutions based on Generative AI and LLM?
If you have a passion for technology, strong leadership skills and a desire to work on innovative projects – join us
Your responsibilites will include:
- Lead a team of data scientists, providing technical and strategic guidance
- Design and implement cutting-edge AI solutions, focusing on Generative AI and LLM-based applications
- Develop and optimize intelligent assistants using LLMs (GPT-4, Falcon 2, LLAMA 3, Mixtral), Retrieval Augmented Generation (RAG) and agent frameworks (Langraph, CrewAI)
- Define AI architecture and technical strategies to address complex business challenges
- Oversee data collection, preprocessing and model training processes
- Communicate technical insights to both technical and non-technical stakeholders
- Contribute to documentation, best practices, and the overall AI strategy of the organization
Apply, if you have:
- Min. 8 years of experience in data science, AI, and ML, with a strong focus on Generative AI
- Experience in team leadership and managing projects from concept to deployment
- Expertise in designing AI-driven solutions leveraging LLMs and advanced ML techniques
- Proficiency in Python , ML frameworks , and LLM-focused architectures (Langchain, LlamaIndex, Vector DBs, multi-agent systems)
- Strong analytical, problem-solving and communication skills
- Fluency in English and Polish
What we offer:
- Hybrid work model
- Private medical care
- Access to cutting-edge technologies and best AI/ML practices
- A collaborative environment supporting knowledge exchange and professional growth
Don't miss the opportunity to join a team shaping the future of AI Apply now
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