We are on the lookout for an experienced AI/ML Architect to join our development team in Sofia. In this role you will be at the heart of developing our AI-driven home management platform by solving complex engineering challenges and shaping the future of intelligent homes. Together we will scale our platform from a prototype designed for early adopters to a robust product ready for large-scale production deployment.
We are looking for a highly skilled, self-driven, and initiative-taking professional with interests and experience in Machine Learning, Large Language Models and Speech Processing (ASR, TTS). You will have the opportunity to work and experiment with the latest AI models,  algorithms and Edge AI hardware, research new innovative approaches in AI, fine-tune models and build Retrieval Augmented Generation systems.

• Design and build our AI-driven home management platform by participating in the entire development process, from initial concept creation to full-fledged implementation

• Assess promising AI technologies

• Lead the design and development of Generative AI solutions, fine-tuning and testing latest LLM models

• Perform Prompt Engineering – craft and refine user inputs to effectively guide AI responses, ensuring accurate and contextually relevant outcomes

• Engage with Data Engineering – collaborate with data engineers to design, develop and maintain scalable data pipelines for Digital Twin operational and training data

• Use Python to integrate various AI services and APIs

• Produce clean, maintainable, scalable, and efficient code

• Leverage AI in the solution's core (for analyzing user input, IoT sensor data, environmental information and behavioural pattern recognition) and its verticals:
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  • Assistant – for personalized conversation and interactions with household members based on their preferences and previous history
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  • • VR – for creating more dynamic and interactive VR experiences
    • Health Tech – for augmenting the Smart Home with human centric data and for enhancing decision making
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  • Utilize latest AI technologies in the Cloud (e.g. OpenAI, Azure, Claude) and running on-premises models on Edge Computing hardware (e.g. NVIDIA Jetson)
  • Conduct research and experimentation to improve the performance of AI systems
  • Build, tune, deploy and monitor (MLOps) robust Machine Learning solutions
  • Develop with a Defensive Design Strategy in mind – for safeguarding against abuse, misuse, and prompt injection, ensuring reliable, secure solutions
  • Stay up to date with the latest research and emerging technologies in Generative AI and related fields and identify opportunities to incorporate relevant advancements into the software architecture
  • Provide technical support to the Product Managers for defining and clarifying business
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  • Qualifications and Skills
  • For being successful in this role, we believe a mix of technical and soft skills is required. In the list below you can see what we think are the characteristics of the “ideal candidate”:
  • ‍Development experience: 10 or more years of experience in software development with participation in three or more production-level projects, preferably with demanding requirements for robust, scalable, and efficient system operation.
  • ‍Python programming expertise: 6 or more years of experience in Python, preferably in complex application development.‍
  • Strong OOP experience: In-depth knowledge of object-oriented programming principles and their practical application in Python for creating clean, modular, and maintainable code
     
  • Solution Architecture experience: Ability to design and develop scalable and dependable machine learning systems.
  • AI/ML expertise: Experience in AI/ML, through academic or commercial projects. Practical skills with some of the popular frameworks in ML like Scikit-learn, PyTorch, TensorFlow, or LangChain. Experience related to Smart Home technologies and automation is a plus.
  • LLM knowledge: Strong understanding of AI language models, particularly GPT-4 or similar technologies. Hands-on experience in fine-tuning large language models or diffusion models.‍
  • Data engineering skills: Skills in data preprocessing, feature engineering, manipulation and visualization.
     
  • Linux/Unix skills: Experience with Linux/Unix environments, shell scripting and command-line utilization, and basic system administration. ‍
  • MLOps/DevOps skills: Experience in designing pipelines and using containerization, orchestration, and monitoring tools. Experience with Azure cloud services is a plus.
  • Smart Home & IoT technologies: Keen interest in Smart Home and IoT technologies, with a desire to create innovative smart living solutions. Experience in these areas is a big advantage.
  • Independence and initiative: Ability and willingness to work independently, to proactively confront challenges, and to adapt to rapidly changing project demands.
  • Communication skills: Very good verbal and written communication skills, with the ability to clearly articulate technical concepts, problem statements and solutions to diverse audiences, including non-technical stakeholders.
     
  • Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a passion for identifying issues and for conceptualizing, evaluating, and implementing solutions.
  • Education: Master's degree in Applied Mathematics, Machine Learning or equivalent.