Machine Learning Engineer​/Data Scientist R certification + PL

Join to apply for the Machine Learning Engineer/ Data Scientist with R certification + PL-400 role at ITC Worldwide
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ITC WORLDWIDE is seeking experienced Machine Learning Engineer and Data Scientist with R certification + PL-400. ITC Worldwide offers Microsoft Experienced & Certified comprehensive technical and functional support services for all Microsoft enterprise technologies, including Microsoft Dynamics 365, Microsoft Azure, and Microsoft 365 across the cloud, hybrid, and on-premises. Includes around the clock problem resolution, proactive advisory services, onsite support, and add-on services to customize your support experience.

Job locations: ITC Offices

Machine Learning Engineer

• Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals.
• Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training.
• Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.
• Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning.
• Evaluate and validate models using metrics and statistical methods, and iteratively refine models based on feedback and insights.
• Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
• Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference.
• Continuously monitor and evaluate model performance and implement updates or improvements.
• Stay up to date with the latest advancements in machine learning algorithms, techniques, and tools, and apply them to solve real-world problems.

• Bachelor's or higher degree in computer science, data science, or a related field. Advanced degrees or relevant certifications are advantageous.
• Strong programming skills in languages such as Python, R, or Java, and experience with machine learning libraries and frameworks (e.g., Tensor Flow, PyTorch, scikit-learn).
• Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Proficiency in working with large-scale datasets, SQL and No
  
  SQL databases, and big data processing frameworks (e.g., Hadoop, Spark).
• Familiarity with software engineering best practices, including version control, testing, and code review.
• Strong mathematical and statistical skills, with the ability to apply statistical methods and evaluate model performance.
• Excellent problem-solving and analytical thinking, with the ability to understand complex business problems and develop innovative solutions.
• Effective communication skills to collaborate with cross-functional teams and present findings and insights to both technical and non-technical stakeholders.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and knowledge of deploying and managing machine learning models in cloud environments is a plus.

• Strategy experience with demonstrated strategic and commercial mindset, analytical abilities, and deep intellectual curiosity, and strong end-to-end generalist problem solving skills.
• Product experience with user research, problem identification, value proposition and solution design, and collaboration with technology partners for enablement / deployment.
• Familiarity with LLMs, AI/ML, and/or technology management processes, and/or experience working with innovative technologies, such as AI, Cloud services and digital products.
• Coding experience with Python and R.
• Degree in STEM field preferred.
• Certifications.

• Engineering and Information Technology

• IT Services and IT Consulting

Location:

Johannesburg, Gauteng, South Africa