Senior Ml Engineer: Build Production Ml Pipelines

Srg Recruitment (Pty) Ltd; Durban; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Learning budget

Access to computing resources

Job summary

Our client, in Durban, seeks a Data Scientist focused on Machine Learning to develop and deploy models that extract actionable insights from large datasets. You will work with stakeholders to define problems and deliver data-driven solutions enhancing products and growth.

The role emphasizes statistical modeling, predictive analytics, and collaboration with engineering teams in a research-oriented environment.

Qualifications

• PhD or Master's degree in Data Science, Statistics, Computer Science, or related quantitative field.
• 5+ years of experience applying machine learning to real-world business problems.
• Strong proficiency in Python or R with libraries like scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of statistics, experimental design, and data mining techniques.
• Experience with big data technologies (Spark, Hadoop) and SQL.

Responsibilities

• Design, develop, and deploy machine learning models for predictive analytics, classification, and clustering.
• Perform data exploration, cleaning, and feature engineering on diverse datasets.
• Evaluate model performance and iterate improvements using proper validation.
• Translate analytical findings into actionable recommendations for stakeholders.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Stay updated on advancements in ML and AI research.

Skills

Python or R

Big data

SQL

Communication

Model deployment

Education

PhD or Master's in Data Science/Statistics/CS

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Data Scientist

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

• PhD 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, TensorFlow, and PyTorch.
• 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