Machine Learning Engineer

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💎 Seniority level: Principal, 2-4 years

📍 Location: Hungary

🔍 Industry: Software Development

🏢 Company: ABBYY👥 1001-5000💰 almost 4 years agoCommunications Infrastructure Analytics Data Visualization Software

🗣️ Languages: English

⏳ Experience: 2-4 years

🪄 Skills: PythonMachine Learning

Requirements:

MS or PhD in Computer Science, Engineering, Mathematics, or related field
2-4 years of experience in Machine Learning/AI
Deep expertise in computer vision and deep learning
Proven track record of leading successful ML projects
Experience mentoring engineers and driving technical excellence
Expert knowledge of computer vision and multimodal architectures
Deep understanding of ML system design and scalability
Strong programming skills in Python and modern ML frameworks
Extensive experience with production ML systems
Proven ability to solve complex technical challenges
Strong background in performance optimization
Demonstrated ability to mentor and grow engineers
Strong track record of driving technical decisions
Excellence in technical communication and documentation
Experience leading architectural discussions
Ability to influence and drive consensus
Track record of fostering team growth

Responsibilities:

Guide architectural decisions for computer vision and multimodal systems
Drive implementation of novel ML approaches and best practices
Lead technical design reviews and architecture discussions
Establish patterns for model development and deployment
Evaluate and introduce new technologies and methodologies
Ensure technical excellence across ML initiatives
Mentor junior machine learning engineers
Foster a culture of engineering excellence and knowledge sharing
Guide career development of team members
Lead technical discussions and learning sessions
Review and provide feedback on technical approaches
Help build and maintain high engineering standards
Lead development of complex ML systems and architectures
Guide optimization of model performance and efficiency
Establish frameworks for model evaluation and validation
Drive improvements in development and deployment processes
Ensure production readiness and system reliability
Help architect scalable ML solutions

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