Machine Learning Engineer

Adeva is a global talent network that enables work without boundaries by connecting tech professionals with top companies worldwide. 

As a Machine Learning Engineer, you will be responsible for designing and developing machine learning algorithms to predict and detect significant data patterns within a health tech platform.

Responsibilities

• Develop machine learning algorithms in the applicable systems, applying the best-use principles of machine learning to the design, development, maintenance, testing, and evaluation of the software.
• Document your work and ensure that your documentation is clear and understandable for future use by others.
• Ensure the software you develop is secure and safe for information security and personal data.
• Continuously develop your skills and stay updated on new industry developments.
• Assist and collaborate with colleagues on other projects as needed.

Requirements

• 5+ years of experience designing, developing, and deploying Machine Learning models in a production environment
• Strong background in mathematics and statistics
• Exposure to developing NLP solutions over opensource platforms
• Exposure to common machine learning, data, math, and visualization libraries
• Exposure to different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git)
• Proficiency in Python
• Understanding of relational databases such as SQL, MySQL, and PostgreSQL
• Familiarity with a cloud environment (AWS) and containerized environment (Kubernetes, Docker) and CI/CD (ArgoCD, AWS Code Pipelines)
• Fluent English and excellent communication skills.
• Ability to work as part of an international, distributed team and resolve potential issues and challenges that come with remote work.

About Adeva

Adeva is an exclusive network of engineers, product and data professionals that connects consultants with leading enterprise organizations and startups. Our network is distributed all over the world, with engineers in more than 35 countries. Our company culture builds connections, careers, and employee growth. We are creating a workplace from the future that values flexibility, autonomy, and transparency. If that sounds like something you’d like to be part of, we’d love to hear from you.