ML Engineer, 100% Remote Work (Poland)
PRIMUS Global Technologies Pvt LtdPoland1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
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BELOW are 2 JD.
1 opening - Staff ML Engineer
2 openings - ML Engineer
ML Engineer, 100% Remote Work (Poland)
6 months contract to hire
Staff ML Engineer -- Bill Rate:- $53.00/hr. USD (From Apex to PRIMUS US) – Cannot go above this bill rate
ML Engineer -- Bill Rate:- $48.00/hr. USD (From Apex to PRIMUS US) – Cannot go above this bill rate
Client is ABBYY
Interview Process:- 1 Technical Video Interview
IMP NOTE:-
Contract to Hire
Poland
Job Responsibilities
Technical Leadership & Architecture
Education & Experience
IC ML Engineer – 2 openings
Contract to Hire
Poland
We are seeking a talented Senior Machine Learning Engineer to develop and optimize next-generation multimodal understanding models, with a strong focus on computer vision. This hands-on technical role combines deep implementation expertise with project execution. The ideal candidate will implement and optimize ML solutions while collaborating across functions to deliver production-ready systems.
Core Responsibilities
Technical Development & Innovation:
Education & Experience:
1 opening - Staff ML Engineer
2 openings - ML Engineer
ML Engineer, 100% Remote Work (Poland)
6 months contract to hire
Staff ML Engineer -- Bill Rate:- $53.00/hr. USD (From Apex to PRIMUS US) – Cannot go above this bill rate
ML Engineer -- Bill Rate:- $48.00/hr. USD (From Apex to PRIMUS US) – Cannot go above this bill rate
Client is ABBYY
Interview Process:- 1 Technical Video Interview
IMP NOTE:-
- Candidates must be in Poland
- We will need candidates targeted conversion salary range when submitting to Client.
Contract to Hire
Poland
Job Responsibilities
Technical Leadership & Architecture
- 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 senior and 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
- Architect scalable ML solutions
Education & Experience
- MS or PhD in Computer Science, Engineering, Mathematics, or related field
- 8+ 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
IC ML Engineer – 2 openings
Contract to Hire
Poland
We are seeking a talented Senior Machine Learning Engineer to develop and optimize next-generation multimodal understanding models, with a strong focus on computer vision. This hands-on technical role combines deep implementation expertise with project execution. The ideal candidate will implement and optimize ML solutions while collaborating across functions to deliver production-ready systems.
Core Responsibilities
Technical Development & Innovation:
- Develop and optimize state-of-the-art computer vision and multimodal models
- Design and implement advanced model architectures for visual understanding tasks
- Create robust evaluation frameworks and testing methodologies
- Drive technical improvements in model performance and efficiency
- Research and evaluate new approaches in computer vision and multimodal learning
- Implement novel computer vision algorithms and techniques
- Lead technical implementation of ML projects
- Drive architectural decisions for model development
- Review code and model architectures
- Contribute to technical planning and decision-making
- Support cross-functional collaboration with product and infrastructure teams
- Help maintain technical standards and best practices
- Implement scalable training and evaluation pipelines for computer vision models
- Build efficient visual data processing workflows
- Develop monitoring solutions for production ML systems
- Optimize model performance and resource utilization
- Support deployment and production maintenance
- Design efficient inference systems for visual processing
Education & Experience:
- MS or PhD in Computer Science, Engineering, Mathematics, or related field
- 5+ years of experience in Machine Learning/AI
- Strong track record of shipping computer vision models to production
- Deep expertise in computer vision and deep learning
- Expert knowledge of computer vision techniques and architectures
- Deep expertise in modern deep learning architectures for visual and multimodal tasks
- Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks
- Experience with cloud platforms and MLOps tools
- Demonstrated ability in building and optimizing training pipelines
- Strong background in image processing and visual computing
- Experience leading technical projects
- Strong problem-solving and analytical skills
- Excellence in cross-functional collaboration and technical communication
- Ability to translate complex technical concepts to various audiences
Key Skills
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