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Machine Learning Engineer

1 hour, 8 minutes ago
South Africa
Full-time
Senior
Machine Learning Engineer
Software Development
Agile Apache Airflow CI/CD Docker Kubernetes MLflow MLOps PyTorch Scikit-learn TensorFlow
Apply Now
Mindera

Mindera

Mindera is a global software engineering company that delivers high-performance web and mobile applications, empowering businesses with custom software solutions through Agile methodology and value-driven products.

Internet Software & Services
1K-5K
Founded 2014
$2M raised
View All Jobs 31

Description

  • Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable.
  • Collaborate with cross-functional teams to deploy and integrate machine learning models.
  • Liaise with business units to understand their machine learning needs and support the cross-BU ML portfolio.
  • Optimize feature extraction, transformation, and selection for machine learning pipelines.
  • Work with and manage feature stores to enable reusability across ML workflows.
  • Ensure the machine learning platform is scalable, reliable, cost-efficient, and easy to use.
  • Contribute to evaluating and adopting new technologies and tools to improve machine learning capabilities.

Requirements

  • 5+ years of experience as a Machine Learning Engineer.
  • Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting.
  • Experience building predictive models such as churn, user journey, and sales forecasting models using behavioral data.
  • Proficiency with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Experience in model training, versioning, and monitoring.
  • Solid background in MLOps practices, including CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow, model observability tools, and feature stores.
  • Business-oriented mindset with the ability to connect model outcomes to product and strategic goals.
  • Experience working with large-scale or distributed machine learning systems (implied by the role).
  • Experience with experimentation platforms and tools (preferred).

Benefits

  • Work with a collaborative, politics-free team that owns projects together.
  • Lean, self-organized culture with freedom and responsibility.
  • Encouragement to take risks, make decisions, and give feedback.
  • Agile, lean, and collaborative working environment.
  • Opportunities to learn and grow while building impactful products.
  • Multiple office locations across Europe, the UK, the US, India, and Brazil.

Interested in this position?

Apply directly on the company website

Apply Now

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