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AI-Machine Learning Engineer
2 weeks ago
This is a technical role that involves collaborating with AI researchers and machine learning engineers to design, develop, and deploy artificial intelligence-powered solutions.
The ideal candidate will have strong proficiency in Python and practical experience in deploying machine learning models using popular frameworks such as Flask, FastAPI, and Docker.
- Key Responsibilities:
- Developing and training machine learning models using leading libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Working with large-scale datasets using big data tools and frameworks such as Spark and Hadoop.
- Deploying, maintaining, and monitoring models in production environments.
- Preferred Qualifications:
- Hands-on experience with MLOps frameworks (MLflow, Kubeflow, or SageMaker).
- Familiarity with optimizing model performance for accuracy, efficiency, and scalability.
- Experience working with both SQL and NoSQL databases for effective data storage and integration into ML pipelines.
What We Offer:
A dynamic work environment that fosters collaboration and innovation. Opportunities for professional growth and development in the field of machine learning engineering.
