About the Role
We are excited to offer a Machine Learning Engineer Intern remote position at Gemmo AI, a dynamic startup focused on Machine Learning and Computer Vision. This internship is designed for candidates aiming for a full-time ML engineering role, providing a unique opportunity to gain hands-on experience in a fast-paced environment.
What You'll Do
- Work on Machine Learning solutions for financial services, tackling prediction models and document analysis.
- Contribute to Computer Vision pipelines in pharmaceutical environments, focusing on object tracking and behavior understanding.
- Collaborate closely with senior engineers and engage directly with enterprise clients from day one.
- Build Machine Learning models using financial data and design CRUD APIs to interact with users.
- Deploy and maintain applications in Azure and Snowflake, ensuring robust performance.
Requirements
- Experience with training custom ML models using PyTorch and XGBoost.
- Familiarity with API development and relational databases.
- Good understanding of version control systems, particularly Git.
- B2+ English proficiency is mandatory.
- Knowledge of running Machine Learning inference jobs with PyTorch or ONNX is a plus.
Nice to Have
- Experience interacting with LLMs (GPT, Claude, Gemini) via API calls.
- Exposure to cloud platforms like AWS.
What We Offer
- Compensation of €830 gross/month with a total of €5,000 over 6 months.
- Relocation bonus of €3,000 gross to support your move to Milan.
- Monthly travel reimbursement up to €370.
- Comprehensive mentorship and fast promotion opportunities.
- Work from anywhere in Italy with flexible hours.
This Machine Learning Engineer Intern remote role is not just an internship; it’s a pathway to a full-time position. We aim to convert our interns into full-time engineers within 3 to 6 months based on performance. Join us at Gemmo AI and kickstart your career in Machine Learning!
This internship offers a unique opportunity to work in a fast-growing AI startup with a clear path to full-time employment. Comprehensive support and mentorship are provided.
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