ML Python Engineer

Machine Learning Engineer (Python, AWS)

We are seeking an experienced Machine Learning Engineer with 5+ years of hands-on experience in developing and deploying ML solutions. The ideal candidate will have strong Python programming skills and a proven track record working with AWS services for machine learning.

Responsibilities:

• Design, develop, and deploy scalable machine learning models that drive business value.

• Implement and optimize ML algorithms using Python, leveraging data structures and software design patterns.

• Leverage AWS services such as Sagemaker, EC2, S3, and Lambda to train, deploy, and monitor ML models, ensuring scalability and reliability.

• Collaborate with cross-functional teams, including data scientists and engineers, to bring ML solutions from concept to production.

• Evaluate the performance, reliability, and scalability of ML systems, identifying areas for improvement and implementing optimizations.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field.

• At least 5 years of professional experience as a Machine Learning Engineer, with a strong portfolio of ML projects.

• Demonstrated expertise in Python programming for machine learning, including popular libraries and frameworks.

• Strong experience with AWS services for ML, including SageMaker, EC2, S3, Lambda, and other relevant tools.

• Solid understanding of machine learning algorithms and principles, including supervised and unsupervised learning, deep learning, and model interpretability.

• Experience with MLOps practices and DevOps principles is a plus, allowing for efficient model deployment, monitoring, and maintenance.