Senior ml engineer: build production ml pipelines
Summary
Senior machine learning / data scientist role in Durban, South Africa: develop, train, and deploy ML models for prediction, classification, and clustering, then integrate them into production systems. Core stack includes Python/R, scikit-learn, TensorFlow, PyTorch, Spark/Hadoop, and SQL.
Our client is seeking a talented and innovative Data Scientist specializing in Machine Learning to join their advanced analytics team in Durban . You will be responsible for developing and implementing sophisticated machine learning models to extract actionable insights from large, complex datasets. This role requires a deep understanding of statistical modeling, predictive analytics, and algorithm development. You will work closely with business stakeholders to identify opportunities, define problems, and deliver data-driven solutions that enhance product offerings and drive business growth. This is an exceptional opportunity to contribute to cutting-edge AI initiatives in a collaborative and research-oriented environment. Key Responsibilities Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. Perform data exploration, cleaning, and feature engineering on diverse datasets. Evaluate model performance, conduct A/B testing, and iterate on models for continuous improvement. Translate complex analytical findings into clear, concise recommendations for business stakeholders. Collaborate with data engineers and software developers to integrate ML models into production systems. Stay abreast of the latest advancements in machine learning and artificial intelligence research. Requirements Ph D or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field. 5+ years of experience in applying machine learning techniques to solve real-world business problems. Strong proficiency in Python or R, including libraries like scikit-learn, Tensor Flow, and Py Torch. Solid understanding of statistical concepts, experimental design, and data mining techniques. Experience with big data technologies (e.g., Spark, Hadoop) and SQL is essential. Excellent communication and presentation skills, with the ability to explain complex models to non-technical audiences. Benefits Competitive salary with comprehensive performance incentives. Generous health insurance plan and wellness programs. Support for continuous learning, including funding for courses and conferences. Access to state-of-the-art computing resources and datasets. Be part of a pioneering team shaping the future of data-driven decision-making. Data Scientist - Machine Learning Specialist
Our client is seeking a talented and analytical Data Scientist with a specialization in Machine Learning to join their growing team in Durban . This role is instrumental in extracting actionable insights from complex datasets, developing predictive models, and driving data-driven decision-making across the organization. You will work with cutting-edge tools and techniques to solve challenging business problems, contributing significantly to product development and strategic planning. This is an excellent opportunity for a passionate data professional to innovate and apply advanced analytical methods in a supportive and technologically advanced environment. Key Responsibilities Design, develop, and deploy machine learning models to address key business challenges such as prediction, classification, and anomaly detection. Perform exploratory data analysis, feature engineering, and data preprocessing to prepare datasets for modeling. Collaborate with engineering and product teams to integrate ML models into production systems and applications. Evaluate and optimize model performance, utilizing appropriate metrics and validation techniques. Communicate complex findings and insights clearly to both technical and non-technical stakeholders through compelling visualizations and #J-18808-Ljbffr