We are seeking a skilled and motivated Senior ML Engineer to join our dynamic team at Quantori. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data. You must be passionate about ML and data science, and be able to work in a fast-paced and dynamic work environment. We expect you to be a versatile and flexible team player with a strong 'can-do' attitude and excellent communication skills.
Job responsibilities :
Engage with clients to understand their business requirements and provide expert advice on leveraging ML and AI technologies to solve their problems
Preprocess data, fine-tune exciting LLMs, and build custom pipelines
Design end-to-end ML solutions that address client needs, considering factors such as data acquisition, preprocessing, feature engineering, model selection, and deployment
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to deliver successful ML projects
Stay up-to-date with the latest advancements in ML, AI, and related technologies, identifying opportunities for innovation and differentiation
Conduct research and experimentation to explore new ML algorithms, techniques, and frameworks that can enhance the company's offerings
Present findings and results to internal teams and external stakeholders in a clear and concise manner
Required qualifications :
Strong experience with NLP, LLM agents, including tool usage and reasoning, for instance, the combination of RAG solution and code interpreter
Experience with LLM fine-tuning
Proficient in Python programming and experience with Python data science frameworks
Experience with AWS infrastructure for data / ML frameworks
Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn)
Solid knowledge of machine learning and deep learning fundamentals
Experience with transformer-based language models
Ability to interpret and implement research ideas and algorithms
Hands-on experience with relational SQL and NoSQL databases
Upper-Intermediate or higher level of English proficiency
Ability to work with external clients and strong communication skills, including presenting in webinars and conferences
We offer :
Competitive compensation
Remote or office work
Flexible working hours
Healthcare benefits : medical insurance and paid sick leave
Continuous education, mentoring, and professional development programs
A team with excellent tech expertise
Certifications paid by the company
Machine Learning Engineer • Lisbon, Portugal