Senior Software Engineer - Machine Learning - Remote

Overview

Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies. We are seeking an exceptionally talented Senior ML Engineer to join our rapidly growing consulting team. In this role, you will have the opportunity to work on high-profile projects at the cutting edge of the software industry and help build our internal Machine Learning practice.

In Short

• Drive the AI/ML practice at Janea Systems and develop strategies with clients.
• Design scalable data pipelines and infrastructure for enterprise ML systems.
• Implement offline models into production by developing real ML systems.
• Collaborate with data scientists and software engineers to operationalize and deploy machine learning models in production environments.
• Deploy scalable tools and services for machine learning training and inference.
• Evaluate new technologies to improve ML system performance and reliability.
• Apply software engineering best practices, including CI/CD, to ML development.
• Facilitate the development and deployment of ML proof-of-concepts.
• Review, refactor, optimize, containerize, deploy, version, and monitor data science models.
• Stay updated with industry trends and apply knowledge to drive innovation.

Requirements

• Bachelor's or Master’s degree in Computer Science or a related field.
• 3+ years of experience as a Platform Engineer, ML Engineer, or Data Engineer.
• Strong knowledge of machine learning algorithms, data pre-processing methods, and ML frameworks (such as PyTorch, TensorFlow, Keras).
• Experience with containers and Kubernetes in cloud environments (AWS, MS Azure, or GCP).
• Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo).
• Experience with open source ML tools and ability to translate business needs into technical requirements.
• Excellent leadership, communication, and problem-solving skills.
• Self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environments.

Benefits

• Competitive compensation with benefits, paid vacation, and sick leave.
• The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.
• Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home.
• An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
• Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.