Mid-Senior Machine Learning Specialist

March 29

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HR factory GmbH

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HR factory GmbH is a company specializing in comprehensive human resource services. They offer a range of services including HR administration, temporary employment, HR interim management, recruiting, active sourcing, payroll services, learning and development, HR consulting, and HR digital services. With over 500 satisfied HR customers, HR factory GmbH aims to support businesses of all sizes as a strategic HR partner across various industries. They are committed to enhancing the HR function by integrating artificial intelligence and other technologies to optimize processes. Their mission is to improve the working world for all by providing tailored HR solutions and expert advice.

HR • Recruiting • HR-Projekte • HR Administration • HR Operations

51 - 200 employees

Founded 2002

🤝 B2B

🏢 Enterprise

👥 HR Tech

📋 Description

• OUR CLIENT - the region's leading telecommunications solutions provider, providing cutting-edge software solutions to major European and American mobile network operators and enterprise markets. • We are looking for a Machine Learning Specialist to join the development of one of the most advanced fraud detection tools for the world’s largest telecom operators. • Responsibilities: • Delving into the telecommunications sector to effectively create solutions for fraud detection using the tools available; • Drive Machine Learning projects from ideation to production; • Suggest internal processes improvements; • Measuring the productivity of existing products; • Execute the performance studies.

🎯 Requirements

• Experience with at least one machine learning framework (sklearn, xgboost, etc.); • Experience developing machine learning applications from scratch in industry setting; • Some software development skills; • Understanding of the mathematical methods behind machine learning algorithms. • Nice to have: • Experience with Python; • Experience deploying machine learning models to production; • Experience with a deep learning framework (on of PyTorch, Tensorflow, etc.); • Some knowledge on machine learning interpretability.

🏖️ Benefits

• Interesting and challenging projects; • Flat command chain; • Personalized development plan and regular progress reviews; • Skill-based pay and motivational system; • Profit-sharing and special bonuses; • Christmas gifts: gratitude to all our employees in recognition of their special dedication; • Work-Life balance: great working conditions and flexible hours; • Remote work possibility; • Potential to travel abroad and communicate with worldwide-known clients; • Constant improvement of professional skills (trainings, seminars, exhibitions, etc.); • Parking: convenient on-site parking available;