Senior Machine Learning Engineer (Remote)

Placements24; LegKraal Gate; Hybrid; ZAR 2,133,000 - 2,953,000; Full time

Benefits offered by this job

Salary + bonuses

Stock options

Health, dental, vision insurance

Remote work flexibility

Professional development budget

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to join a fully remote engineering team. You will design, build, and deploy scalable ML systems and pipelines that power AI-driven products. Work closely with data scientists and software engineers to productionize models and implement CI/CD and monitoring.

The role emphasizes strong software engineering practices, deep ML knowledge, and mentoring of junior engineers in a globally distributed team.

Qualifications

• Bachelor's or Master's degree in CS, SE, or related quantitative field.
• Minimum of 5 years of professional software engineering with ML focus.
• Proven experience deploying production ML models and pipelines.
• Strong programming in Python, Java, or Scala.
• Deep knowledge of ML frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps tools.
• Experience with cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes.
• Solid understanding of data structures, algorithms, and software design.
• Experience with distributed systems and Spark.
• Excellent problem-solving and collaboration in remote teams.

Responsibilities

• Design, implement, and maintain scalable ML systems and infrastructure.
• Develop and optimize ML pipelines for data preprocessing, feature engineering, model training, and deployment.
• Collaborate with data scientists to deploy and integrate ML models into production environments.
• Implement MLOps best practices, including CI/CD and model monitoring.
• Build robust data pipelines for ingestion, transformation, and storage.
• Optimize ML model performance for speed, scalability, and efficiency.
• Write high-quality, maintainable, and well-documented code.
• Troubleshoot and resolve issues in production ML systems.
• Stay up-to-date with ML, MLOps, and cloud advancements.
• Contribute to architectural decisions and technology roadmap for ML infrastructure.
• Mentor junior engineers and contribute to team growth.

Skills

Python

Java

Scala

ML frameworks

MLOps concepts

Distributed systems

Problem-solving

Communication

Education

BSc/MS in CS or related field

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

AWS

Azure

GCP

Docker

Kubernetes

Spark

Job description

About the Role

Our client, a rapidly growing tech company at the forefront of AI-driven solutions, is seeking a highly experienced Senior Machine Learning Engineer to join their innovative and fully remote engineering team. This role is critical for designing, building, and deploying scalable machine learning systems and infrastructure that power our cutting-edge products. You will work closely with data scientists and software engineers to translate research prototypes into robust, production-ready ML pipelines. The ideal candidate possesses a strong blend of software engineering best practices and deep expertise in machine learning principles and MLOps. If you are passionate about operationalizing machine learning models and building the infrastructure that enables AI innovation at scale, this remote position offers an exceptional opportunity to make a significant impact.

Key Responsibilities

• Design, implement, and maintain scalable machine learning systems and infrastructure.
• Develop and optimize ML pipelines for data preprocessing, feature engineering, model training, and deployment.
• Collaborate with data scientists to deploy and integrate ML models into production environments.
• Implement MLOps best practices, including continuous integration, continuous delivery (CI/CD), and model monitoring.
• Build robust data pipelines for efficient data ingestion, transformation, and storage.
• Optimize ML model performance for speed, scalability, and efficiency.
• Write high-quality, maintainable, and well-documented code.
• Troubleshoot and resolve issues in production ML systems.
• Stay up-to-date with the latest advancements in ML engineering, MLOps, and cloud technologies.
• Contribute to architectural decisions and technology roadmap for ML infrastructure.
• Mentor junior engineers and contribute to the team's technical growth.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field.
• Minimum of 5 years of professional experience in software engineering, with a significant focus on machine learning systems.
• Proven experience in building and deploying production-level ML models and pipelines.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Deep understanding of ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Solid understanding of data structures, algorithms, and software design principles.
• Experience with distributed systems and big data technologies (e.g., Spark).
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration abilities, essential for a remote team.

Benefits

• Our client offers a highly competitive salary, performance bonuses, and stock options.
• We provide comprehensive health, dental, and vision insurance, a generous vacation policy, and a significant budget for professional development and continuous learning.
• The fully remote nature of this role offers unparalleled flexibility and work-life balance.
• Join a dynamic and collaborative team that is pushing the boundaries of AI technology.
• We foster an environment of innovation and provide opportunities for career growth and leadership.