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, with remote work options available. This role presents an exciting opportunity to work at the intersection of cutting-edge AI technology and enterprise solutions.
The position requires a blend of technical expertise in machine learning and practical engineering skills. You'll be working with a diverse team of developers, designers, and data scientists to create and implement machine learning solutions that serve companies in highly regulated industries. The role involves hands-on work with advanced technologies, including the company's proprietary Large Language Models - Italia 10B and Colosseum 355B.
As a Machine Learning Engineer, you'll be responsible for developing and implementing machine learning models, ensuring they integrate seamlessly with the product ecosystem. The role requires expertise in Python programming, deep learning frameworks, and a strong foundation in statistics and machine learning fundamentals. You'll have the opportunity to work on challenging problems in areas such as NLP, Recommender Systems, or Knowledge Graphs.
The company offers an attractive compensation package, including a salary range of €40,000-70,000, company equity opportunities, and various benefits such as Learning Fridays for professional development. The work environment is multicultural and international, with the flexibility of smart working options.
iGenius has established itself as a significant player in the AI industry, recognized by Gartner as a "Cool Vendor" and working with Fortune 500 companies like Allianz and Intesa Sanpaolo. Their recent collaboration with NVIDIA to build one of the world's largest AI supercomputers demonstrates their commitment to pushing technological boundaries.
This role is ideal for someone who combines technical expertise with a passion for problem-solving and innovation. You'll have the opportunity to work on cutting-edge AI technology while contributing to products that make a real impact in regulated industries. The position offers both technical challenges and growth opportunities, including the chance to mentor others and develop leadership skills.
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 efficient services into product ecosystem
- Explore state-of-the-art Machine Learning research
- Improve scientific and engineering skills
- Mentor and guide team members
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 machine learning projects implementation
- Python programming skills with data science libraries
- Experience with TensorFlow or PyTorch
- Knowledge of Git and Docker
- Fluent in English
Benefits For Machine Learning Engineer
- Learning Friday with training budget for books and courses
- Smart Working (work from home option)
- Competitive salary with bonuses
- Company equity opportunity
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