Machine Learning Engineer
Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Machine Learning Engineer (12-Month Contract)
Join a leading AI consultancy delivering cutting-edge solutions for enterprise clients.
Johannesburg R600 - R640 per hour Contract
About Our Client
Our client is a specialist consultancy that helps businesses harness the full potential of artificial intelligence. Partnering with large enterprises including major players in financial services they design and deliver impactful AI solutions that drive measurable results. The company is known for technical excellence innovation and a collaborative culture.
The Role: Machine Learning Engineer
We are seeking a Machine Learning Engineer to support a 12-month project within the banking sector. You will be responsible for building and scaling machine learning models ensuring their seamless deployment into production environments. This is a hands-on role where youll collaborate with data scientists engineers and business stakeholders to deliver end-to-end AI solutions.
Key Responsibilities
-
Design build and optimise machine learning models for enterprise banking applications.
-
Develop and implement scalable ML pipelines integrating them into production systems.
-
Collaborate with cross-functional teams to deliver robust AI solutions.
-
Deploy monitor and maintain ML models within AWS environments.
-
Ensure model reliability reproducibility and performance across their lifecycle.
-
Document workflows methodologies and best practices for future use.
About You
-
3 - 5 years of experience in machine learning data science or related fields.
-
Strong proficiency in Python and ML frameworks (TensorFlow PyTorch Scikit-learn).
-
Experienced in working with large datasets and SQL/NoSQL databases.
-
Essential: Proven expertise with AWS cloud services (SageMaker S3 Lambda EC2 Glue Redshift).
-
Knowledge of MLOps practices and CI/CD for ML pipelines.
-
Strong problem-solving skills with the ability to translate business needs into technical solutions.
-
Experience in banking or financial services is advantageous but not mandatory.
-
Bonus: Experience deploying AI models at scale exposure to Docker/Kubernetes and familiarity with ML observability tools.
Contract Details
-
Duration: 12 months (with potential for extension).
-
Location: Johannesburg or Stellenbosch South Africa (hybrid flexibility may apply).
Employment Type
Full Time
