Senior Machine Learning Developer
Johannesburg, GP, South Africa
Position Summary: The Senior Machine Learning Engineer will play a key role in leading the design, development, and deployment of machine learning solutions. You will collaborate with cross-functional teams to identify business opportunities, develop innovative machine learning models, and implement scalable solutions that drive business value. This role offers a unique opportunity to leverage your expertise in machine learning to tackle challenging problems, mentor junior team members, and contribute to the success of our organization.
Key Responsibilities:
- Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems.
- Collaborate with data scientists, software engineers, and product managers to identify business opportunities and requirements.
- Conduct exploratory data analysis, feature engineering, and model evaluation to ensure robust and reliable performance.
- Implement scalable and efficient machine learning pipelines and workflows to process large volumes of data.
- Stay up-to-date with the latest developments in machine learning research and technologies, and apply them to improve our products and services.
- Mentor and coach junior machine learning engineers, providing guidance, training, and support to develop their technical skills and knowledge.
- Collaborate with cross-functional teams to integrate machine learning models into production systems and applications.
- Document work processes, methodologies, and best practices to facilitate knowledge sharing and collaboration.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
- 5+ years of experience in machine learning engineering or related roles, with a proven track record of developing and deploying machine learning solutions in production environments.
- Strong proficiency in machine learning algorithms, techniques, and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark MLlib.
- Experience with big data technologies and platforms such as Hadoop, Spark, or Apache Flink.
- Proficiency in programming languages such as Python, Java, or Scala.
- Excellent analytical and problem-solving skills, with a strong attention to detail.
- Excellent communication and collaboration skills, with the ability to effectively work with cross-functional teams.
- Demonstrated leadership and mentoring abilities, with a passion for developing and empowering team members.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis EDA Engineering Feature engineering Flink Hadoop Java Machine Learning Mathematics ML models Pipelines Python PyTorch Research Scala Scikit-learn Spark Statistics TensorFlow
Perks/benefits: Career development
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