Quantori

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We are seeking a skilled and motivated Senior ML Engineer to join our dynamic team at Quantori. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in ML/AI and data science to tackle complex scientific and business challenges. 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 great communication skills.
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

/am/senior-machine-learning-engineer-26

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• Engage with clients to understand their business requirements and provide expert advice on leveraging ML and AI technologies to solve their problems
• Design end-to-end ML solutions that address client needs, considering factors such as data acquisition, preprocessing, feature engineering, model selection, and deployment
• Architect scalable and reliable ML systems that can handle large volumes of data and real-time processing. Ensure the solutions are robust, secure, and scalable, taking into account performance, latency, and cost optimization
• 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

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What we expect:

• 3+ years of experience as an ML Engineer or Data Scientist, either in academia or industry
• Proficient in Python programming and experience with Python data science frameworks. Strong programming skills with proven experience in implementing Python-based machine learning solutions
• 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
• Experience with LLM agents, including tool use and reasoning, such as combining a RAG solution and code interpreter.
• Experience with LLM fine-tuning
• 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
• Ability to mentor team members and assist in their professional development
• Quick learner with the ability to adapt to new technologies, frameworks, and algorithms

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