Janea Systems is hiring a
Senior Software Engineer

Summary

Join Janea Systems (USA), a dynamic team of software engineering specialists and solutions innovators, as a Senior ML Engineer. 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.

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
• Flexibility in experience with different programming languages and willingness to adjust to project needs
• 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
• Understanding of software testing, benchmarking, and continuous integration
• Excellent leadership, communication, and problem-solving skills
• Self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environments

Responsibilities

• 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
• Implement monitoring and alerting solutions to ensure the reliability and performance of machine learning systems
• Optimize and automate the machine learning deployment process to ensure efficiency and reproducibility
• Collaborate with cross-functional teams to troubleshoot and resolve issues related to machine learning deployments
• Stay updated with industry trends and apply knowledge to drive innovation
• Promote industry best practices and enhance team expertise

Preferred Qualifications

• Familiarity with big data technologies, such as Hadoop, Spark, or Hive is a plus
• Any associate Cloud Certification is a plus

Benefits

• Competitive compensation with benefits
• Paid vacation and sick leave
• Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both
• 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