AI / ML Engineer

Sri Lanka·Colombomid

Machine Learning EngineerData

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Overview

Develop, train, test, and deploy machine learning models. Build data preprocessing, feature engineering, and data validation pipelines.

Technical Tools

Machine Learning EngineerData

Develop, train, test, and deploy machine learning models.
Build data preprocessing, feature engineering, and data validation pipelines.
Work with large datasets and ensure data quality and consistency.
Implement predictive analytics, classification, NLP, computer vision, or recommendation models depending on project needs.
Optimize model performance, accuracy, and inference speed.
Deploy models using cloud platforms or MLOps frameworks.
Collaborate with data engineers, product teams, and software engineers.
Maintain model monitoring, versioning, and retraining workflows.

~1 min read

Strong knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Proficiency in Python and ML-ready libraries (NumPy, Pandas, Matplotlib).
Experience with model deployment using Docker, FastAPI, Flask, or cloud ML services.
Understanding of algorithms, statistics, and data modelling.
Experience with NLP, deep learning, or computer vision (as required).
Familiarity with MLOps tools (MLflow, Kubeflow, Vertex AI, Sagemaker) is a plus.
Good understanding of data structures and distributed systems.