Machine Learning Engineer
We are seeking an experienced Machine Learning Engineer to join our team and contribute to the design, development, and deployment of ML models and AI-driven solutions.
This role involves collaborating with data engineering, analytics, and software teams to create scalable, production-ready machine learning pipelines that drive business insights and automation.
* Design, develop, and deploy machine learning models and AI solutions
* Build and maintain end-to-end ML pipelines for data ingestion, training, and deployment
* Collaborate with data engineers and software developers to integrate ML solutions into production systems
* Monitor model performance, retrain models, and ensure scalability and reliability
* Implement best practices in model testing, versioning, and governance
* Conduct data analysis, feature engineering, and model evaluation
* Document solutions and share knowledge with team members
Requirements:
* Proven experience as a Machine Learning Engineer or similar role
* Strong programming skills in Python, R, or equivalent
* Experience with ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
* Knowledge of cloud ML platforms (AWS SageMaker, Azure ML, GCP AI Platform)
* Understanding of data pipelines, ETL processes, and SQL/noSQL databases
* Experience with model deployment, monitoring, and optimization
* Strong problem-solving, analytical, and communication skills