ML Researcher (Remote)
Pubblicato il 03-10-2026 - Hire Feed in Firenze
- Role: ML Researcher (Remote)
- Location: Remote (Work from Anywhere)
Role Overview:
We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a Full-time basis. The role involves advancing machine learning models and algorithms to solve complex problems in a high-impact environment. Responsibilities include designing, implementing, and evaluating novel AI solutions for real-world applications.
Key Responsibilities:
- Design and develop machine learning models and algorithms to address specific business challenges.
- Conduct research to improve existing models and explore new approaches in AI and machine learning.
- Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
- Analyze large datasets to identify patterns and trends that inform model improvements.
- Document research findings and present results to stakeholders in a clear and actionable manner.
Required Skills & Qualifications:
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
- Strong background in applied mathematics, statistics, or a related quantitative field.
- Experience with natural language processing, computer vision, or other specialized AI domains.
- Ability to design and conduct experiments to evaluate model performance and accuracy.
- Familiarity with data preprocessing, feature engineering, and model optimization techniques.
- Experience with cloud platforms and distributed computing for scalable ML model training.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. Candidates will have the chance to work on impactful projects with direct influence on the company’s strategic direction.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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