Key Responsibilities:

• Design and implement robust data pipelines to support the lifecycle of machine learning models from data collection, processing, training, and deployment.
• Optimize machine learning code for performance and scalability, ensuring models are efficient and effective.
• Develop and maintain deployment scripts to automate the deployment process of machine learning models across various environments.
• Lead the deployment of machine learning models, ensuring they are successfully integrated into production systems.
• Collaborate with cross-functional teams on AI projects, contributing technical expertise to achieve project objectives.
• Leverage AWS ecosystem and services optimally for deploying, monitoring, and managing machine learning models and data science projects.
• Ensure best practices in data science and MLOps are applied throughout the project lifecycle to achieve high-quality outcomes.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience in building data pipelines for machine learning models.
• Strong experience in optimizing machine learning model code for performance.
• Solid experience in writing and managing deployment scripts for machine learning models.
• Demonstrated experience in deploying machine learning models into production environments.
• Experience working on AI projects, with a thorough understanding of machine learning concepts and applications.
• Preferred experience with AWS ecosystem and services related to data sciences (e.g., AWS Sagemaker, AWS Lambda, AWS Glue, etc.).
• Basic knowledge of data sciences and familiarity with machine learning algorithms and their applications.

Skills and Abilities:

• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Ability to work in a fast-paced and dynamic environment, managing multiple projects simultaneously.

Summary

As a Machine Learning Engineer, you will be integral to developing and deploying advanced AI solutions that drive innovation within our organization. Reporting to the Lead Data Scientist, you will leverage your core skills in Python, R, and SQL to train and optimize machine learning models, while utilizing AWS and TensorFlow for deployment. Your strong communication skills and understanding of algorithms will facilitate collaboration across teams. With a focus on natural language processing and big data analytics, you will help transform complex data into actionable insights, contributing to our mission of harnessing technology for impactful results.

Job Types: Full-time, Contract

Pay: $65.00 - $70.00 per hour

Experience:

• LLM: 3 years (Required)
• Healthcare: 3 years (Required)
• ML engineer: 6 years (Required)

Work Location: Remote