Senior Machine Learning Engineer

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

Benefits offered by this job

Health insurance

Hybrid work

Training & conferences

Research facilities access

Retirement plan

Job summary

Placements24 in Midrand is hiring a Senior Machine Learning Engineer to design, build, and deploy state-of-the-art ML models and systems that support strategic business decisions and product development.

You will collaborate with data scientists and engineers, mentor junior team members, and drive scalable pipelines, while enjoying a hybrid work arrangement and access to cutting-edge technology.

Qualifications

• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of professional experience in developing and deploying machine learning models in a production environment.
• Proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Strong understanding of statistical modeling, algorithms, and data mining techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is highly desirable.

Responsibilities

• Design, train, and evaluate advanced machine learning models for various business challenges, including predictive analytics, natural language processing, and computer vision.
• Develop and maintain robust, scalable machine learning pipelines for data ingestion, feature engineering, model training, and deployment.
• Collaborate with software engineers to integrate ML models into production systems and applications, ensuring seamless operation and performance.
• Conduct research on new AI/ML techniques and technologies, assessing their potential applicability and impact on our client's operations.
• Mentor junior engineers and data scientists, fostering a culture of knowledge sharing and continuous learning within the team.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Keras

Statistical modeling

MLOps

Cloud platforms

Education

Master's or PhD in Computer Science/Data Science/AI

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their innovative AI division in Midrand. You will be instrumental in designing, developing, and deploying cutting-edge machine learning models and systems that drive strategic business decisions and product development. This role requires a blend of strong theoretical knowledge in machine learning and practical experience in implementing these solutions in real-world applications, working collaboratively within a team of data scientists, engineers, and domain experts to push the boundaries of artificial intelligence.

Key Responsibilities

• Design, train, and evaluate advanced machine learning models for various business challenges, including predictive analytics, natural language processing, and computer vision.
• Develop and maintain robust, scalable machine learning pipelines for data ingestion, feature engineering, model training, and deployment.
• Collaborate with software engineers to integrate ML models into production systems and applications, ensuring seamless operation and performance.
• Conduct research on new AI/ML techniques and technologies, assessing their potential applicability and impact on our client's operations.
• Mentor junior engineers and data scientists, fostering a culture of knowledge sharing and continuous learning within the team.

Requirements

• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of professional experience in developing and deploying machine learning models in a production environment.
• Proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Strong understanding of statistical modeling, algorithms, and data mining techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is highly desirable.

Benefits

• Competitive annual salary and performance-based bonuses.
• Comprehensive health insurance and retirement savings plan.
• Opportunities for professional development, including conferences and advanced training.
• A dynamic and collaborative work environment in Midrand with hybrid work flexibility.
• Access to state-of-the-art technology and research facilities.