Lead Machine Learning Engineer

Placements24; George; Hybrid; ZAR 1,400,000 - 2,000,000; Full time

Benefits offered by this job

Remote work flexibility

Performance incentives

Career growth opportunities

Medical and wellness programs

Job summary

Placements24 is seeking a dynamic Lead Machine Learning Engineer to spearhead AI initiatives from George, South Africa. You will lead a team, define the technical roadmap, and drive scalable ML solutions end-to-end across pipelines and infrastructure.

Ideal candidates have 5+ years in ML engineering with at least 2 years in a lead role, and strong skills in Python/Java/Scala. Remote work is supported, with opportunities to influence global AI strategy.

Qualifications

• Master's or PhD in CS/Engineering or related quantitative field.
• 5+ years in ML engineering, with at least 2 years in a lead role.
• Proficient in Python, Java, or Scala.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong understanding of statistics, algorithms, and data structures.

Responsibilities

• Lead the design, development, and deployment of end-to-end ML pipelines.
• Architect and build scalable ML systems and infrastructure.
• Mentor and guide a team of ML engineers, fostering technical excellence.
• Collaborate with data scientists and stakeholders to translate business needs into technical requirements.
• Stay abreast of latest ML and AI technologies.

Skills

Team leadership

ML engineering

Statistical modeling

Education

Master's or PhD in CS/Engineering

Tools

AWS

Azure

GCP

MLOps

Job description

About the Role

Our client is looking for a dynamic and visionary Lead Machine Learning Engineer to spearhead their AI initiatives in George. In this pivotal role, you will lead a team of talented engineers in designing, developing, and deploying sophisticated machine learning solutions that address complex business challenges. You will play a key part in defining the technical roadmap for AI and machine learning, ensuring scalability, reliability, and efficiency of our ML infrastructure. This is an exciting opportunity for a seasoned professional to make a significant impact, drive innovation, and contribute to the growth of a forward-thinking organization dedicated to leveraging AI for competitive advantage.

Key Responsibilities

• Lead the design, development, and deployment of end-to-end machine learning pipelines.


• Architect and build scalable ML systems and infrastructure.


• Mentor and guide a team of ML engineers, fostering a culture of technical excellence.


• Collaborate with data scientists and stakeholders to understand business needs and translate them into technical requirements.


• Stay abreast of the latest advancements in machine learning and AI technologies.

Requirements

• Master's or PhD in Computer Science, Engineering, or a related quantitative field.


• 5+ years of experience in machine learning engineering, with at least 2 years in a lead role.


• Proficiency in programming languages like Python, Java, or Scala.


• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.


• Strong understanding of statistical modeling, algorithms, and data structures.

Benefits

• Excellent remuneration package with performance incentives.


• Remote work flexibility enabling a global talent pool.


• Generous opportunities for professional growth and learning.


• Comprehensive medical and wellness programs.


• Chance to shape the future of AI within the company.