Machine Learning Engineer - Deep Learning & Python

Machine Learning Engineer - Deep Learning & Python (MSc / PhD)

Location : Global - Fully Remote

Employment Type : Contract / Freelance

Total Experience : 5 - 21 years

Key Responsibilities :

• Develop, implement, and validate machine learning and deep learning models.
• Design, build, and optimize machine learning training and inference pipelines.
• Implement model components, algorithms, data pipelines, and evaluation systems.
• Develop reproducible machine learning workflows using Python and command-line tools.
• Work on numerical computing, computational methods, and engineering optimization.
• Optimize model performance, memory utilization, computational efficiency, and inference throughput.
• Debug complex programming, numerical, and system-level issues.
• Implement and modify machine learning solutions to meet specific technical requirements.
• Review, test, and validate machine learning implementations for correctness and performance.
• Create, solve, assess, and review challenging machine learning engineering tasks.
• Effectively incorporate coding agents and AI-assisted development tools into the Python development workflow.
• Maintain clear technical documentation and ensure the quality and reliability of completed deliverables.

Required Qualifications :

• Master's degree (MSc) or PhD.
• Strong professional, research, or academic experience in Machine Learning.
• Advanced practical proficiency in Python programming.
• Hands-on experience with machine learning and deep learning model development.
• Practical understanding of model training, inference, and evaluation workflows.
• Experience using coding agents or AI-assisted coding tools as part of the development workflow.
• Ability to solve complex technical, mathematical, and computational problems.
• Experience developing reproducible Python-based engineering workflows.
• Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications :

• Experience working at an established technology company, AI laboratory, research organization, or recognized engineering environment.
• Strong academic or research background in Machine Learning, Deep Learning, or Artificial Intelligence.
• Experience developing and optimizing machine learning models and large-scale computational systems.
• Familiarity with numerical methods, performance benchmarking, and inference optimization.
• Experience with model evaluation, debugging, and computational efficiency improvements.
• Contributions to recognized open-source projects or impactful academic research.
• Ability to independently solve challenging machine learning implementation and engineering problems.