Machine Learning Engineer
Summary
Design and deploy production-ready ML models and pipelines using Python, TensorFlow, and PyTorch for enterprise clients.
Our clients are investing in AI-driven platforms and intelligent automation. We are building a pipeline of Machine Learning Engineers for upcoming opportunities across enterprise organisations.
If you're passionate about deploying production-ready machine learning solutions, we'd love to hear from you.
Key Responsibilities:
- Design and deploy machine learning models
- Build scalable AI solutions
- Optimise model performance and accuracy
- Develop ML pipelines and automation
- Work closely with data scientists and software engineers
Job Experience & Skills Required / Ideal Candidate Profile:
Education:
- Degree in Computer Science, Artificial Intelligence, Engineering, or related field
Experience:
- 3+ years building Machine Learning solutions
- Experience deploying models into production
Skills:
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- MLflow
- Azure Machine Learning
- SQL
- Docker
- Kubernetes
Apply now!
If you're passionate about deploying production-ready machine learning solutions, we'd love to hear from you.
Key Responsibilities:
- Design and deploy machine learning models
- Build scalable AI solutions
- Optimise model performance and accuracy
- Develop ML pipelines and automation
- Work closely with data scientists and software engineers
Job Experience & Skills Required / Ideal Candidate Profile:
Education:
- Degree in Computer Science, Artificial Intelligence, Engineering, or related field
Experience:
- 3+ years building Machine Learning solutions
- Experience deploying models into production
Skills:
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- MLflow
- Azure Machine Learning
- SQL
- Docker
- Kubernetes
Apply now!