Remote Senior Machine Learning Engineer

Placements24; Queenstown; Hybrid; NZD 140,000 - 210,000; Full time

Benefits offered by this job

Fully remote work arrangement

Competitive salary

Job summary

Placements24 is seeking a Senior Machine Learning Engineer for a fully remote role. You will design, build, and deploy scalable ML models and pipelines, collaborating with cross-functional teams to deliver ML-driven features.

The ideal candidate has 5+ years of experience in ML engineering, strong Python skills, and deep knowledge of ML algorithms. Experience with Spark and cloud platforms (AWS/Azure/GCP), plus Docker/Kubernetes, is highly valued.

Qualifications

• Master's or PhD in Computer Science, AI, ML, or related quantitative field.
• 5+ years of experience in machine learning engineering or related role.
• Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of core ML concepts, algorithms (supervised, unsupervised, deep learning), and statistical modeling.
• Experience with large-scale data processing frameworks (e.g., Spark).
• Proven experience deploying ML models into production environments.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and a research-oriented mindset.
• Strong communication and collaboration skills, particularly in a remote setting.
• Experience with MLOps is highly desirable.

Responsibilities

• Design, develop, and implement scalable machine learning models and algorithms.
• Build and maintain robust ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
• Deploy ML models into production environments, ensuring reliability and performance.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver ML-driven features.
• Conduct research on state-of-the-art ML techniques and apply them to solve business problems.
• Monitor and optimize the performance of deployed ML models.
• Develop tools and frameworks to support the ML development lifecycle.
• Stay abreast of the latest research papers, tools, and trends in machine learning and artificial intelligence.
• Mentor junior engineers and contribute to the team's technical growth.
• Ensure the ethical and responsible development and deployment of AI systems.

Job description

About the Role

Our client, a cutting-edge AI research and development firm, is seeking an exceptional Remote Senior Machine Learning Engineer to join their globally distributed team. This role is fully remote, allowing you to work from any location within South Africa, contributing to groundbreaking projects from the comfort of your home office. You will be instrumental in designing, building, and deploying advanced machine learning models and systems that solve complex real-world problems. The ideal candidate possesses a deep theoretical understanding of ML algorithms, practical experience in implementing and scaling ML solutions, and a passion for innovation. You will collaborate with a team of world-class researchers and engineers, pushing the boundaries of artificial intelligence. Our client is committed to creating an environment where talent can thrive, offering challenging projects and continuous learning opportunities. This is a unique chance to make a significant impact in the field of AI.

Key Responsibilities

• Design, develop, and implement scalable machine learning models and algorithms.
• Build and maintain robust ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
• Deploy ML models into production environments, ensuring reliability and performance.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver ML-driven features.
• Conduct research on state-of-the-art ML techniques and apply them to solve business problems.
• Monitor and optimize the performance of deployed ML models.
• Develop tools and frameworks to support the ML development lifecycle.
• Stay abreast of the latest research papers, tools, and trends in machine learning and artificial intelligence.
• Mentor junior engineers and contribute to the team's technical growth.
• Ensure the ethical and responsible development and deployment of AI systems.

Requirements

• Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or equivalent practical experience.
• 5+ years of experience in machine learning engineering or a related role.
• Strong proficiency in programming languages such as Python, and ML libraries like TensorFlow, PyTorch, Scikit-learn.
• Deep understanding of core ML concepts, algorithms (supervised, unsupervised, deep learning), and statistical modeling.
• Experience with large-scale data processing frameworks (e.g., Spark).
• Proven experience deploying ML models into production environments.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and a research-oriented mindset.
• Strong communication and collaboration skills, particularly in a remote setting.
• Experience with MLOps practices is highly desirable.

Benefits

• Highly competitive salary and performance bonuses.
• Fully remote work arrangement, offering significant flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Opportunities for continuous learning, research, and attending leading AI conferences (virtual or in-person).
• Work on intellectually stimulating and impactful AI projects.
• Collaborative and supportive remote team culture.
• Pension fund contributions.
• Home office setup budget and ongoing support.
• Access to cutting-edge AI research and tools.