Janea Systems

Senior Software Engineer – Machine Learning

Janea Systems

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AirflowAWSAzureCloudGoogle Cloud PlatformKerasKubernetesPythonPyTorchTensorflow

About the role

  • Design scalable data pipelines and infrastructure for enterprise ML systems
  • Implement ML models and systems into production
  • Collaborate with data scientists and software engineers
  • 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 ML 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

Requirements

  • Bachelor's or Master’s degree in Computer Science or a related field
  • 4+ years of experience as a Software Engineer, Platform Engineer, ML Engineer, Data Scientist, AI Engineer, or Data Engineer
  • Flexibility in experience with different programming languages and willingness to adjust to project needs
  • Strong knowledge of Python
  • 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)
  • Understanding of software testing, benchmarking, and continuous integration principles
  • Ability to translate business needs into technical requirements
  • Excellent communication and problem-solving skills, with the ability to break down complex challenges and develop innovative solutions
  • Being self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environment
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, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonmachine learning algorithmsdata pre-processing methodsML frameworksPyTorchTensorFlowKerassoftware testingbenchmarkingcontinuous integration
Soft Skills
communicationproblem-solvingself-motivatedadaptablecollaborationflexibilityinnovationtroubleshootingorganizationalleadership
Certifications
Bachelor's degree in Computer ScienceMaster’s degree in Computer Science