Machine Learning Engineer - Deep Learning & Python
First seen by Alion on Oct 31, 2026.
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.
Skills
Machine Learning, Deep Learning, Python, Artificial Intelligence, Algorithm