
Machine Learning Engineer
2 days ago
We are seeking a highly skilled AI Solutions Developer to join our team. As an AI Solutions Developer, you will play a critical role in developing and deploying AI-powered solutions that drive business growth.
Key Responsibilities:
- Design and implement machine learning workflows using Python to deploy real-time, batch, and event-triggered ML pipelines.
- Utilize AWS Sagemaker for deployment of ML pipelines and models, leveraging tools like Sagemaker Pipelines, Sagemaker MLflow, and Sagemaker Feature Store.
- Develop APIs using FastAPI, Flask, and Django, ensuring seamless integration with existing systems.
- Apply expertise in ML frameworks and tools, including scikit-learn, PyTorch, xgboost, lightgbm, and mlflow.
- Understand the entire ML lifecycle: model development, training, validation, deployment, and monitoring.
- Experience with CI/CD pipelines for ML workflows, particularly with Bitbucket, Jenkins, Nexus, and AUTOSYS for scheduling.
- A strong background in containerization using Docker and orchestration using Kubernetes is also beneficial.
Requirements:
- Strong understanding of machine learning concepts and techniques.
- Proficiency in programming languages such as Python and Java.
- Experience with cloud-based platforms such as AWS.
- Familiarity with DevOps practices and tools.
- Bachelor's degree in Computer Science or related field.
What We Offer:
- A competitive salary and benefits package.
- Ongoing training and development opportunities.
- A collaborative and dynamic work environment.
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