Remote Senior Machine Learning Engineer

Placements24; Durban; Híbrido; ZAR 900.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Vision benefits

Retirement plan

Remote work

Learning opportunities

Performance bonuses

Equity options

Descripción de la vacante

WhatJobs Direct is seeking a highly experienced Senior Machine Learning Engineer to join our pioneering R&D division in a remote-first environment. You will design, develop, and deploy advanced ML models across scientific domains, mentoring junior engineers and shaping AI initiatives.

You should excel in ML theory and software engineering, work with distributed researchers, and stay current with the latest tools and best practices to deliver production-ready solutions.

Formación

• Master's or PhD in Computer Science, Machine Learning, Statistics, or related field.
• 5+ years of professional ML engineering experience.
• Proficient in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with distributed computing frameworks (Spark) and cloud platforms (AWS, GCP, Azure).
• Deep learning architectures, reinforcement learning, NLP knowledge.
• Experience with MLOps and deployment strategies.
• Strong problem-solving and collaboration, especially in remote teams.

Responsabilidades

• Design, develop, and implement scalable ML models and algorithms.
• Build robust data pipelines for training and deployment.
• Collaborate with researchers to define ML problems and solutions.
• Conduct experiments to evaluate model performance and improvements.
• Deploy ML models to production ensuring reliability and scalability.
• Mentor junior engineers and participate in code reviews.
• Stay up-to-date with ML research and tools.
• Document models, experiments, and deployment processes clearly.

Conocimientos

Python

TensorFlow

PyTorch

scikit-learn

ML pipelines

MLOps

Distributed computing

Cloud platforms

Research collaboration

Educación

Master's or PhD in CS/ML/Stats

Herramientas

Spark

AWS

GCP

Azure

Descripción del empleo

About the Role

WhatJobs Direct is actively seeking a highly experienced Senior Machine Learning Engineer to join our pioneering research and development division. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in designing, developing, and deploying advanced machine learning models that drive innovation across various scientific domains. This role demands a deep understanding of machine learning algorithms, statistical modeling, and software engineering best practices. You will collaborate with a distributed team of world-class researchers and engineers, contributing to projects that push the boundaries of artificial intelligence in scientific discovery. As a Senior ML Engineer, you will mentor junior team members and contribute to the strategic direction of our AI initiatives, all within a remote-first culture that values collaboration and autonomy. We are looking for individuals passionate about solving complex problems with data, and who thrive in a dynamic, remote environment.

Key Responsibilities

• Design, develop, and implement scalable machine learning models and algorithms.


• Build and maintain robust data pipelines for training and deploying ML models.


• Collaborate with researchers and domain experts to define ML problems and solutions.


• Conduct rigorous experiments to evaluate model performance and identify areas for improvement.


• Deploy machine learning models into production environments, ensuring reliability and scalability.


• Mentor junior engineers and contribute to code reviews and best practices.


• Stay up-to-date with the latest advancements in machine learning research and tools.


• Document models, experiments, and deployment processes clearly and comprehensively.


• Contribute to the overall architecture and technical strategy of our ML platform.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.


• 5+ years of professional experience in machine learning engineering or a similar role.


• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.


• Experience with distributed computing frameworks (e.g., Spark) and cloud platforms (AWS, GCP, Azure).


• Solid understanding of deep learning architectures, reinforcement learning, and natural language processing.


• Experience in MLOps and model deployment strategies.


• Excellent problem-solving, analytical, and critical thinking skills.


• Strong communication and collaboration skills, with the ability to work effectively in a remote team.


• Proven ability to deliver high-quality, production-ready code.

Benefits

• This fully remote role offers a competitive salary, comprehensive benefits package including health, dental, and vision insurance, and a generous retirement savings plan.


• You will have the flexibility to work from anywhere, supported by a collaborative and innovative team.


• Our client provides opportunities for continuous learning and professional development, including access to online courses and conference attendance.


• Performance-based bonuses and equity options may also be available.


• We foster a culture of work-life balance and support our remote employees with the resources they need to succeed.