AI/ML Software Engineer

Placements24; Kimberley; In loco; CAD 52.000 - 103.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Health benefits

Generous paid time off

Professional development

Work-life balance

Descrizione del lavoro

Placements24 is seeking an AI/ML Software Engineer to join a team delivering production-grade AI integrations. You will translate model prototypes into scalable applications, emphasizing clean Python code and robust APIs.

You will collaborate with data scientists and engineers, optimize models for production use, and contribute to MLOps practices while leveraging cloud services to deploy AI solutions at scale.

Competenze

• Bachelor's degree in Computer Science, Software Engineering, or related technical field.
• 3+ years of professional software development experience with focus on AI/ML integration.
• Strong programming in Python.
• Experience with ML frameworks TensorFlow, PyTorch, or scikit-learn.
• Familiarity with RESTful APIs and cloud ML services.
• Understanding of MLOps concepts is desirable.
• Docker experience is a plus.

Mansioni

• Develop, implement, and deploy AI/ML models into production software systems.
• Write clean, efficient, and well-documented Python code.
• Collaborate with data scientists to understand requirements and deployment needs.
• Design and build APIs and services to expose AI/ML functionalities.
• Optimize model performance for speed, memory, and scalability.
• Implement monitoring and logging for deployed AI/ML systems.
• Contribute to MLOps practices and tooling.
• Work with cloud platforms (AWS, Azure, GCP) to deploy services.

Conoscenze

Python

ML frameworks

RESTful APIs

Cloud platforms

Formazione

Bachelor's degree in CS/Software Engineering

Strumenti

TensorFlow

PyTorch

scikit-learn

Docker

Descrizione del lavoro

About the Role

Our client, a leading innovator in AI and Emerging Technologies, is seeking a talented AI/ML Software Engineer to join their dynamic team in Kimberley, Northern Cape, ZA . This role is crucial for developing and integrating sophisticated AI and machine learning models into production software systems. You will work closely with data scientists and other engineers to translate model prototypes into robust, scalable, and efficient applications. This is an exceptional opportunity to contribute to cutting-edge AI projects and gain hands-on experience in deploying ML models at scale. If you are a passionate software engineer with a strong interest in artificial intelligence, we encourage you to apply. Join a collaborative environment focused on pushing the boundaries of technology in the unique setting of Kimberley.

Key Responsibilities

• Develop, implement, and deploy AI and machine learning models into production software systems.
• Write clean, efficient, and well-documented code, primarily in Python.
• Collaborate with data scientists to understand model requirements, performance characteristics, and deployment needs.
• Design and build APIs and services to expose AI/ML model functionalities.
• Optimize model performance for speed, memory usage, and scalability in production environments.
• Implement monitoring and logging solutions for deployed AI/ML systems.
• Contribute to the development of MLOps practices and tools to streamline the ML lifecycle.
• Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage AI/ML services.
• Troubleshoot and resolve issues related to AI/ML model integration and performance in production.
• Stay updated on the latest advancements in AI/ML technologies and software engineering best practices.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• Minimum of 3 years of professional experience in software development, with a focus on AI/ML integration.
• Strong programming skills in Python.
• Experience with popular ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with software development principles, data structures, and algorithms.
• Experience with RESTful APIs and web services development.
• Knowledge of cloud platforms (AWS, Azure, GCP) and their respective ML services.
• Understanding of MLOps concepts and tools is highly desirable.
• Experience with containerization technologies like Docker is a plus.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and teamwork abilities.

Benefits

• Competitive salary and comprehensive benefits package.
• Health, wellness, and retirement programs.
• Generous paid time off and company holidays.
• Opportunities for professional growth and development through training and workshops.
• Exposure to cutting-edge AI technologies and impactful projects.
• A collaborative and innovative work environment.
• Career advancement opportunities.
• Work-life balance focus.