Ai / Ml Engineer

feeblo.; Johannesburg; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A leading company in Johannesburg is seeking a Senior AI/ML Engineer with extensive experience in AI/ML frameworks. You will design and maintain AI solutions, mentor junior engineers, and collaborate with cross-functional teams. Ideal candidates should have a strong programming background and a passion for data. This full-time role offers opportunities for growth in a dynamic environment.

Qualifications

• 5+ years of professional experience in AI/ML development.
• At least 2 years in a senior or lead role.

Responsibilities

• Design, develop, and maintain AI/ML models.
• Mentor and guide junior engineers.
• Collaborate with teams to define and ship new features.

Skills

AI/ML Frameworks

Programming Languages

Data Analysis

APIs and Web Services

Database Management

Version Control

Testing

Security Best Practices

Education

Bachelor’s or Master’s degree in Computer Science

Tools

TensorFlow

PyTorch

Scikit-learn

Git

Job description

1 day ago Be among the first 25 applicants

We are seeking a highly skilled and experienced Senior AI/ML Engineer . The ideal candidate will have a strong background in artificial intelligence and machine learning, with expertise in developing and deploying AI/ML models. As a Senior AI/ML Engineer, you will play a key role in designing, developing, and maintaining AI/ML solutions, as well as mentoring junior engineers. You should be passionate about data, writing clean, maintainable code, and have a deep understanding of modern AI/ML practices.

• Key Responsibilities:
• Design, develop, and maintain robust, scalable, and high-performance AI/ML models.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write reusable, testable, and efficient code.
• Integrate AI/ML models with existing systems and applications.
• Optimize models for maximum speed and scalability.
• Implement security and data protection measures.
• Troubleshoot and debug models to resolve issues.
• Mentor and guide junior engineers, providing technical leadership and code reviews.
• Stay up-to-date with emerging technologies and industry trends to ensure our solutions remain cutting-edge.
• Participate in Agile/Scrum processes, including sprint planning, stand-ups, and retrospectives.
• Required Skills and Technologies:Proficiency in AI/ML Frameworks:
• Extensive experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Programming Languages:Strong understanding of programming languages such as Python, R, and Java.
• Data Analysis:Expertise in data analysis and data visualization using libraries like Pandas, NumPy, and Matplotlib.
• APIs and Web Services:Experience with RESTful APIs and integrating web services.
• Database Management:Experience with relational databases (e.g., SQL Server, MySQL) and NoSQL databases (e.g., MongoDB).
• Version Control:Strong experience with Git and collaborative development workflows (e.g., GitFlow).
• Testing:Proficient in writing unit tests, integration tests, and using testing frameworks (e.g., PyTest).
• Security Best Practices:Understanding of secure coding practices and common vulnerabilities (e.g., OWASP Top 10).
• Preferred Skills:
• Experience with front-end frameworks (e.g., React, Angular, Vue.js) for full-stack development.
• Familiarity with message brokers (e.g., RabbitMQ, Kafka) and event-driven architectures.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
• Understanding of GraphQL and its implementation in AI/ML applications.
• Qualifications:Education:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Experience:
• 5+ years of professional experience in AI/ML development, with at least 2 years in a senior or lead role.
• Certifications (Optional):
• Relevant certifications such as:
• Google Professional Machine Learning Engineer
• TensorFlow Developer Certificate
• Soft Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.
• Leadership skills with a focus on mentoring and guiding junior engineers.
• Adaptability to changing project requirements and technologies.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Business Consulting and Services

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