Machine Learning Specialist Ukraine IRC221752
2 weeks ago
Description:
Zenseact's purpose is to make safe and intelligent mobility real, for everyone, everywhere. We develop the complete software stack for ADAS and AD, from sensing to actuation. Our focus is to build a single cutting-edge software platform in order to serve various levels of autonomy and offer unequaled scalability at the same time. The head office is in Gothenburg, Sweden. Zenseact's first self-driving deployment will be launched on the next-generation vehicle platform from Volvo Cars. Self-driving cars, when real, is estimated to reduce fatal car accidents with more than 85%, saving more than 50,000 persons from dying in car accidents caused by human errors each year. We feel that is a goal worth pursuing. But technology, software, tools and datasets would not mean much without the best people behind the wheel to drive them. At Zenseact, some five hundred of the best engineering minds globally, stationed across two continents, are collaborating with the same passion: to bring autonomous driving to the streets for real and create a safer journey for everyone. This is part of our culture and how we work, develop and grow together. Apart from your skillset your mindset will take you even further. With genuine team playing attitude and a high feeling of responsibility and thoroughness you will quickly thrive and grow in your role. We have space for your ambition to mentor others by sharing your knowledge in software craftmanship. We strive for a T-shaped competence profile for all team members, so every member must be open to work on all topics relevant for the team while still fostering their special expertis Requirements: We are seeking a skilled Machine Learning or Deep learning Engineer specialized in the Generative AI domain to join our team. The ideal candidate will have concrete development experience in retrieval models and Large Language Models (LLMs), with a strong familiarity with vector databases and embeddings. Requirements:- Proven experience in building RAG (Retrieval Augmented Generation) pipelines.
- Proficiency in working within cloud development environments.
- Familiarity with retrieval models and generative models, particularly in the context of RAG frameworks.
- Ability to leverage external sources of knowledge to ground generated text.
- Expertise in vector databases and embedding techniques.
- Strong understanding of the principles behind retrieval-augmented generation and its application in improving the quality and reliability of LLM applications.
- Demonstrated ability to provide relevant data or documents as context for LLM responses.
- Experience in optimizing data usage for LLM formulation.
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- Proven experience in machine learning, particularly in the Generative AI domain.
- Strong programming skills in Python.
- Excellent problem-solving and analytical abilities.
- Effective communication skills and the ability to collaborate in a team environment.
- Demonstrated ability to work independently.
- Close collaboration with cross-functional Engineering and Leadership teams to build and integrate Gen-AI frameworks for improved the engineering excellence and knowledge sharing practices
- Research, prototype, benchmark, deploy and maintain AI-driven agents/chatbots
- Implement and validate various use-cases and scenarios by AI-assistants and tools
- Integrate various NLP/LLM tools and frameworks with AI-agents
- Integrate MS Azure AI services
- Ensure high quality deliverables and deployments provided for Customer teams in order to address AI-driven assistance for SDLC
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