Janea Systems is hiring a
Senior Software Engineer in Worldwide

Logo of Janea Systems
Senior Software Engineer
🏢 Janea Systems
💵 ~$120k-$160k
📅 Posted on Jul 11, 2024


Janea Systems is seeking a Senior ML Engineer to join their rapidly growing consulting team. The candidate will work on high-profile projects at the cutting edge of the software industry and help build the internal Machine Learning practice. They will drive AI/ML strategies, design scalable data pipelines, implement machine learning models into production, and collaborate with cross-functional teams.


  • Bachelor's or Master’s degree in Computer Science or a related field
  • 3+ years of experience as a Platform Engineer, ML DevOps 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 , with the ability to break down complex challenges and develop innovative solutions
  • Self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environments


  • 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


  • 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, 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
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