Senior Machine Learning Engineer

Placements24; George; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Health, dental and vision insurance

Retirement savings plan

Professional growth opportunities

Job summary

Placements24 seeks a Senior Machine Learning Engineer in George to design and deploy advanced ML models, from data prep to production, collaborating with cross-functional teams in a hybrid work setting.

The role requires 5+ years in ML engineering, strong Python skills, and experience with TensorFlow, PyTorch, and NLP/CV techniques, along with cloud and MLOps practices.

Qualifications

• Master's or PhD degree in Computer Science, Data Science, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn.
• Strong understanding of deep learning, NLP, and computer vision.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, implement, and optimize machine learning algorithms and models.
• Develop and maintain scalable ML pipelines for training, validation, and deployment.
• Collaborate with software engineers and data analysts to integrate ML models into production systems.
• Conduct thorough data analysis and feature engineering to improve model performance.
• Stay current with state-of-the-art ML research and techniques.
• Mentor junior engineers and contribute to technical roadmap discussions.

Skills

Python programming

TensorFlow

PyTorch

Scikit-learn

NLP

Computer Vision

AWS

Azure

GCP

MLOps

Education

Master's or PhD in CS/DS

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

About the Role

Our client is looking for a highly skilled Senior Machine Learning Engineer to join their dynamic team in George . You will be responsible for designing, developing, and deploying sophisticated machine learning models that drive innovation across our product suite. This role involves working on cutting-edge problems, from data preprocessing and feature engineering to model training, evaluation, and deployment in production environments. You will collaborate with cross-functional teams to translate business needs into scalable ML solutions, contributing significantly to the company's technological advancements in a hybrid work setting.

Key Responsibilities

• Design, implement, and optimize machine learning algorithms and models.
• Develop and maintain scalable ML pipelines for training, validation, and deployment.
• Collaborate with software engineers and data analysts to integrate ML models into production systems.
• Conduct thorough data analysis and feature engineering to improve model performance.
• Stay current with state-of-the-art ML research and techniques.
• Mentor junior engineers and contribute to technical roadmap discussions.

Requirements

• Master's or PhD degree in Computer Science, Data Science, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering.
• Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of various ML techniques including deep learning, NLP, and computer vision.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving and communication skills.

Benefits

• Competitive salary and performance bonuses.
• Hybrid work model offering flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and retirement savings plan.
• Opportunities for professional growth and continuous learning.