Note: The job is a remote job and is open to candidates in USA. Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. They are seeking a Generative AI & Machine Learning Engineer who will work on building and optimizing machine learning models and frameworks to enhance customer experiences in automotive retail.
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
Skills
- 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
- 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 that's yoga, hiking, or visit to the museum
- An annual learning budget to power your growth—be it a new course, certification, or skill you've been eyeing
- Regular team events, social calls, the best company SWAG, and a vibrant remote culture
Company Overview