Lead AI Engineer

Stack

Responsibilities

• ▹Driving the design, development, and deployment of advanced AI and GenAI systems to solve complex business challenges
• ▹Partnering with cross-functional teams to translate business requirements into robust technical solutions and actionable insights
• ▹Leading teams of 3-5 AI/ML engineers, data engineers, and MLOps professionals
• ▹Working closely with software developers to integrate AI and data-driven modules into larger software solutions
• ▹Mentoring and guiding junior data scientists and engineers, promoting best practices
• ▹Conducting comprehensive data analysis and model validation to ensure robustness, reliability, and scalability
• ▹Translating complex technical concepts and results to non-technical stakeholders
• ▹Participating in ad hoc pre-sales efforts, leveraging technical expertise

Requirements

• ▹Bachelor or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• ▹7-8 years of experience in data science, machine learning, AI engineering or software development, with a demonstrated track record of deploying ML/AI solutions in production
• ▹In-depth knowledge of transformer-based models such as BERT
• ▹Experience with LLMs: commercial (Anthropic, OpenAI) and non-commercial (e.g. Llama)
• ▹Knowledge of prompt-engineering techniques such as CoT, few-shot learning, and fine-tuning/PEFT
• ▹Proficiency in Python, including numpy, pandas, Scikit-learn, TensorFlow, PyTorch, Spacy, LangChain, LlamaIndex
• ▹Familiarity with cloud computing platforms, specifically the AWS suite
• ▹Hands-on experience deploying models using Docker and Kubernetes
• ▹Exceptional problem-solving skills and a strategic mindset
• ▹Strong leadership capabilities and excellent communication skills

Soft skills

About the company

Dreamix was founded 19 years ago by passionate IT students who wanted to create the dreamiest workplace, where everyone is heard, works under transparent management, and lives up to their full potential. They now deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley through Java and Web technologies.