Senior Machine Learning Engineer (Remote-First)

Placements24; Sandton; Hybride; ZAR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

Placements24 is hiring a Senior Machine Learning Engineer for a fully remote team. You will design, train, and deploy advanced ML models, collaborating with data scientists and engineers to integrate models into production.

The role emphasizes MLOps, scalable data pipelines, and staying at the cutting edge of AI research. Requirements include a Master’s/PhD in a quantitative field and 5+ years of ML experience, with strong Python skills and proficiency in TensorFlow, PyTorch, and Scikit-learn.

Qualifications

• Master's or PhD in CS, AI, ML, Statistics or related field.
• 5+ years of experience in machine learning engineering or a similar role.
• Proven track record of designing, building, and deploying ML models into production.
• Strong programming skills in Python and experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.

Responsabilités

• Design, develop, train, and deploy sophisticated machine learning models and algorithms.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Develop and maintain robust data pipelines for ML model training and inference.
• Implement and manage MLOps practices, including model monitoring, versioning, and deployment automation.
• Conduct research on state-of-the-art ML techniques and apply them to solve business problems.
• Evaluate and benchmark different ML models and approaches.
• Write clean, efficient, and well-documented code in Python.

Connaissances

Python programming

Communication

Formation

Master's or PhD in Computer Science/AI/ML/Statistics

Outils

TensorFlow

PyTorch

Scikit-learn

MLflow

Spark

Docker

Description du poste

About the Role

Our client, a leading innovator in artificial intelligence and data science, is seeking a highly skilled Senior Machine Learning Engineer to join their cutting-edge, fully remote team. This is an exceptional opportunity to design, develop, and deploy advanced machine learning models that drive significant business value and push the boundaries of AI. You will collaborate with a talented group of researchers and engineers, working on challenging problems that require deep expertise in ML algorithms, model optimization, and scalable infrastructure. As a remote-first organization, we foster a culture of autonomy, collaboration, and continuous learning, ensuring you have the resources and support to excel. Your work will directly impact the development of intelligent systems that are transforming various industries. We are looking for individuals who are passionate about creating intelligent solutions and thrive in a dynamic, distributed work environment. Your contributions will be vital in shaping the future of our client's AI initiatives, based out of the vibrant tech hub of Sandton , albeit with a remote-first approach.

Key Responsibilities

• Design, develop, train, and deploy sophisticated machine learning models and algorithms.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Develop and maintain robust data pipelines for ML model training and inference.
• Implement and manage MLOps practices, including model monitoring, versioning, and deployment automation.
• Conduct research on state-of-the-art ML techniques and apply them to solve business problems.
• Evaluate and benchmark different ML models and approaches.
• Write clean, efficient, and well-documented code in languages such as Python.
• Stay abreast of the latest advancements in machine learning and AI research.
• Contribute to the architectural design of ML systems and platforms.
• Mentor junior engineers and contribute to the team's technical growth.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Extensive experience (5+ years) in machine learning engineering or a similar role.
• Proven track record of designing, building, and deploying ML models into production.
• Strong programming skills in Python and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of various machine learning algorithms (e.g., deep learning, reinforcement learning, NLP).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow).
• Experience with data processing and big data technologies (e.g., Spark).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, comfortable working in a fully remote team.
• Ability to work independently and manage complex projects effectively.

Benefits

Our client offers a highly competitive salary, performance bonuses, and comprehensive health, dental, and vision insurance. We provide a generous remote work stipend, covering home office expenses and ensuring you have the tools you need to succeed. Opportunities for professional development include funding for conferences, courses, and certifications. We foster a collaborative and inclusive remote culture, emphasizing work-life balance and continuous learning. Join a pioneering company at the forefront of AI and make a significant impact on the future of technology. This is a fully remote role.