AI/ML Engineer: Build, Deploy

Key Responsibilities

• Design, develop, train, and deploy machine learning models.
• Work with structured and unstructured data to build AI solutions.
• Implement data preprocessing, feature engineering, and model evaluation.
• Collaborate with data engineers and software engineers to productionise models.
• Monitor model performance and retrain models as needed.
• Research and apply new AI/ML techniques and algorithms.
• Document models, experiments, and best practices.

Job Experience and Skills Required

Education

• Degree in Computer Science, Data Science, Artificial Intelligence, or related fields.

Experience

• 3+ years experience as an AI / ML Engineer or Data Scientist.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms and statistical methods.
• Experience working with data pipelines and large datasets.
• Familiarity with model deployment techniques (APIs, containers).

Nice to Have

• Experience with cloud ML platforms (Azure ML, AWS SageMaker, GCP AI).
• Knowledge of deep learning, NLP, or computer vision.
• Experience with MLOps tools and CI/CD for ML.

Apply now

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