Machine Learning Engineer in München bei ATTC

ATTC

Machine Learning Engineer at ATTC

ATTC, at the forefront of reshaping large language model access, is seeking a proficient Machine Learning Engineer. Join our magical journey and work on the development and implementation of machine learning algorithms, optimizing ATTC AI models for various applications.

Position: Machine Learning Engineer

Location: Munich

Salary: Starting at Euro 85,000 annually

Benefits:

• Competitive salary starting at Euro 85,000 annually.
• Generous 30 days of paid vacation per year.
• Additional amenities and benefits.

Responsibilities:

• Collaborate with cross-functional teams to develop and implement machine learning algorithms within the ATTC AI ecosystem.
• Optimize ATTC AI models for various applications, ensuring high performance and efficiency.
• Stay informed about the latest developments in machine learning research and technologies.
• Contribute to the continuous improvement of machine learning processes and methodologies.
• Work on projects aimed at enhancing the capabilities of ATTC AI models.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
• Proven experience in developing and implementing machine learning algorithms.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning frameworks and methodologies.
• Excellent problem-solving and analytical skills.

Benefits:

• Competitive salary starting at Euro 85,000 annually.
• Generous 30 days of paid vacation per year.
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• Health and wellness programs.

How to Apply: If you are passionate about crafting machine learning solutions and optimizing AI models for diverse applications, please submit your resume, cover letter, and any relevant work samples to info@attc.io.

Job Type: Full-time

Salary: From 85.000,00€ per year

Ability to commute/relocate:

• 80939 München: Reliably commute or planning to relocate before starting work (Required)

Work Location: Hybrid remote in 80939 München