Senior Machine Learning Engineer

Placements24; East London; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Generous paid time off

Remote work flexibility

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to join a remote-first team building and scaling AI-powered solutions. You will design, train, and deploy production ML models, work with large datasets, and collaborate with data scientists and software engineers to integrate models into product features.

The role emphasizes MLOps, model monitoring, ethical AI, and staying current with research. You can contribute from anywhere, with asynchronous collaboration and strong autonomy

Qualifications

• Master's or Ph.D. in Computer Science, ML, Statistics, or a related field.
• Proven experience with deployed ML models.
• Strong Python and ML library expertise (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of ML algorithms, statistical modeling, and data mining techniques.
• Experience with MLOps tools and CI/CD for ML (MLflow, Kubeflow).
• Proficiency with large datasets and distributed computing (Spark).
• Experience with cloud ML services (AWS/Azure/GCP) and Docker.

Responsibilities

• Design, build, train, and deploy production-ready machine learning models.
• Develop and maintain robust data pipelines for model training and inference.
• Collaborate with data scientists and software engineers to integrate ML models into product features.
• Optimize model performance, scalability, and efficiency.
• Conduct rigorous experimentation and validation of ML algorithms and approaches.
• Stay abreast of the latest research and advancements in ML/AI.
• Implement MLOps best practices for model versioning, monitoring, and deployment.
• Ensure ethical and responsible AI development and deployment.
• Troubleshoot and debug complex ML system issues.
• Mentor junior engineers and contribute to the team's technical growth.

Skills

Python programming

ML algorithms understanding

Distributed computing

Problem solving

Communication

Education

Master's or Ph.D. in Computer Science / ML / Statistics

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

Spark

Docker

CI/CD for ML

AWS

Azure

GCP

Job description

About the Role

Our client, a leader in AI-driven solutions, is seeking a highly skilled Senior Machine Learning Engineer to join their innovative and fully remote team. This role is instrumental in developing, deploying, and scaling machine learning models that power our cutting-edge products and services. You will work with vast datasets, advanced algorithms, and state-of-the-art tools to solve complex challenges and drive significant business impact. As a remote-first organization, we champion asynchronous communication, self-motivation, and collaborative problem solving. This is an exceptional opportunity for an experienced ML Engineer to contribute to groundbreaking AI advancements from anywhere.

Key Responsibilities

• Design, build, train, and deploy production-ready machine learning models.


• Develop and maintain robust data pipelines for model training and inference.


• Collaborate with data scientists and software engineers to integrate ML models into product features.


• Optimize model performance, scalability, and efficiency.


• Conduct rigorous experimentation and validation of ML algorithms and approaches.


• Stay abreast of the latest research and advancements in machine learning and artificial intelligence.


• Implement MLOps best practices for model versioning, monitoring, and deployment.


• Ensure the ethical and responsible development and deployment of AI systems.


• Troubleshoot and debug complex ML system issues.


• Mentor junior engineers and contribute to the team's technical growth.

Requirements

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


• Proven experience as a Machine Learning Engineer, with a strong portfolio of deployed models.


• Expertise in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).


• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.


• Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD for ML).


• Proficiency in working with large datasets and distributed computing frameworks (e.g., Spark).


• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.


• Familiarity with containerization technologies (Docker).


• Excellent problem-solving, analytical, and communication skills.


• Ability to work effectively and autonomously in a fully remote environment.

Benefits

• This fully remote position offers a highly competitive salary, comprehensive health and wellness benefits, performance bonuses, and generous paid time off.


• Our client provides access to advanced technologies and tools, significant opportunities for professional development and learning, and a collaborative culture that values innovation and impact.


• Enjoy the flexibility and work-life balance of a remote role while contributing to the forefront of AI technology.