We9re looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new technologies, solving complex problems, and building intelligent systems that shape the future of automotive retail.
JOB KEY RESPONSIBILITIES - Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.
- Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.
- Collaborate with software engineers, product managers, designers, and analysts.
- Deliver testable, maintainable, and high-quality code.
- Monitor, test, and continuously optimize our Machine Learning models.
- Ensure that our user experience is the very best it can be.
- Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company.
- Collaborate with key internal stakeholders.
- Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains.
- Regularly update knowledge with the latest trends and developments in the machine learning industry.
- Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.
RequirementsWHAT YOU9LL BRING TO THE PARTY (MUST HAVES)- Minimum 2 years work experience.
- Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.
- Experience with open source LLMs and relevant hardware to host them.
- Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential.
- Skilled in API integration with various providers and enhancing customer experience.
- Deep familiarity with data structures, data modeling, and software architecture.
- Proficiency in Python and SQL. R is considered a plus as well.
- Competency in data visualization using R, Python libraries, Tableau, PowerBI, or similar tools.
- Proficiency in using version control tools such as Git.
- Strong ability to understand business needs, data gathering, clear communication, and incorporating feedback.
- Experience analyzing a feature in production using analytics and experiments.
- Experience in applying machine learning models to solve real-world problems.
YOU9LL THRIVE IN THIS ROLE IF YOU9RE SOMEONE (GREAT-TO-HAVE)- Experience working in startups
- Experience with cloud services such as AWS and Azure.
- Knowledge of the automotive industry is a plus.
- Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.
- Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.
Benefits- 25 days of paid annual leave plus public holidays
- Flexible remote work options
- Open door policy to CEO and all Leadership team
- One-on-one wellness coaching sessions because your well-being matters.
- An annual wellness budget to fuel whatever keeps you balanced-whether that9s yoga, hiking, or visit to the museum.
- An annual learning budget to power your growth-be it a new course, certification, or skill you9ve been eyeing
- Regular team events, social calls, the best company SWAG, and a vibrant remote culture
