ML Researcher (Remote)

Hire Feed; Plasencia; Remoto; EUR 105.000 - 140.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a Machine Learning Researcher to work fully remote. You will design and develop ML models and algorithms to solve real-world problems, evaluate novel AI solutions, and collaborate with cross-functional teams to deploy improvements in production.

The role requires strong mathematical and statistical foundations, hands-on experience with Python and frameworks like TensorFlow or PyTorch, and experience with NLP or CV domains.

Competenze

• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Strong background in applied mathematics or statistics.
• Experience with NLP, CV, or other AI domains.
• Ability to design and conduct experiments to evaluate model performance.

Mansioni

• Design and develop ML models and algorithms to address business challenges.
• Conduct research to improve existing models and explore new AI approaches.
• Collaborate with cross-functional teams to integrate ML solutions into production systems.
• Analyze large datasets to identify patterns for model improvements.
• Document findings and present results to stakeholders.

Conoscenze

Python

TensorFlow

PyTorch

Statistics

NLP

Computer Vision

Formazione

Master's in a quantitative field

Strumenti

Cloud platforms

Distributed computing

Descrizione del lavoro

• 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.