WD
Lead AI & Machine Learning Engineer (Remote)
WhatJobs Direct
Remote · South Africa Full-time Lead 3w ago
About the role
About
Our client, a cutting-edge technology firm specializing in artificial intelligence solutions, is seeking an experienced and visionary Lead AI & Machine Learning Engineer to spearhead their advanced research and development initiatives. This role is fully remote, allowing you to contribute to groundbreaking projects from anywhere.
Responsibilities
- Leading the design, development, and deployment of sophisticated AI and ML models
- Driving innovation in areas such as natural language processing, computer vision, and predictive analytics
- Architecting scalable ML pipelines
- Selecting appropriate algorithms and frameworks
- Ensuring the robustness and performance of AI systems
- Mentoring and guiding a talented team of AI engineers and data scientists
- Fostering a collaborative and innovative work environment
- Translating complex business problems into data-driven AI solutions
- Working closely with product managers and other engineering teams
- Staying abreast of the latest advancements in AI research
- Identifying opportunities for leveraging new technologies
- Contributing to the company's intellectual property
Requirements
- Deep understanding of machine learning principles
- Deep understanding of statistical modeling
- Deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch)
- Experience with big data technologies (e.g., Spark, Hadoop) is highly desirable
- Experience with cloud platforms (e.g., AWS, Azure, GCP) is highly desirable
About the Role
This is a fantastic opportunity for a motivated leader to shape the future of AI, working remotely with a globally distributed team, yet remaining connected to the innovative spirit of Stellenbosch, Western Cape, ZA.
Requirements
- A deep understanding of machine learning principles.
- A deep understanding of statistical modeling.
- A deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop).
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
Responsibilities
- Leading the design, development, and deployment of sophisticated AI and ML models.
- Architecting scalable ML pipelines.
- Selecting appropriate algorithms and frameworks.
- Ensuring the robustness and performance of AI systems.
- Mentoring and guiding a talented team of AI engineers and data scientists.
- Translating complex business problems into data-driven AI solutions.
- Staying abreast of the latest advancements in AI research.
- Identifying opportunities for leveraging new technologies.
- Contributing to the company's intellectual property.
Skills
AWSAzureGCPHadoopPyTorchSparkTensorFlow
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