Machine Learning Engineer
Description For Machine Learning Engineer
iGenius, a leading European AI unicorn, is seeking a Machine Learning Engineer to join their team in Milan. This role offers a unique blend of startup creativity and enterprise expertise. The position involves working with a cross-functional team to develop and implement machine learning solutions for regulated industries. The ideal candidate will have strong technical skills in ML, Python programming, and deep learning frameworks, combined with the ability to translate complex concepts for broad audiences. The role offers significant growth opportunities through Learning Fridays, smart working options, and exposure to cutting-edge AI technologies. iGenius develops Crystal, a Decision Intelligence tool used by Fortune 500 companies, and has recently launched Italia, an open-source Large Language Model. The company's commitment to democratizing business knowledge and its recognition by Gartner makes this an exciting opportunity for ML engineers looking to make an impact in the AI industry. The position requires 2+ years of experience or a PhD, and offers a collaborative, international environment with offices in Milan, NYC, London, and Lausanne.
Responsibilities For Machine Learning Engineer
- Work with Developers, Designers and Data Scientists
- Understand customers' needs and propose insightful solutions
- Implement and test machine learning models
- Integrate services into product ecosystem
- Explore state-of-the-art Machine Learning research
- Mentor and guide team members
- Continuously improve scientific and engineering skills
Requirements For Machine Learning Engineer
- Master's Degree or PhD in quantitative fields (Computer Science, Engineering, Stats, Math, or Physics)
- At least 2 years of proven experience as a Machine Learning Engineer (or a PhD)
- Understanding of statistics and machine learning fundamentals
- Knowledge in Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, or Knowledge Graph
- Experience with Python and data science libraries
- Experience with TensorFlow or PyTorch
- Knowledge of Git and Docker
- Fluent in English
Benefits For Machine Learning Engineer
- Learning Fridays with training budget for books and courses
- Smart Working (work from home option)
- Competitive salary with bonuses
- International work environment
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