Über
Remote 100% Compensation:
Salary Work Schedule:
Full time / Flexible working hours Reports to:
Team Lead Member of:
Engineering Team To be considered for this position, you must meet the following qualifications: Bachelor's or Master's degree in Computer Science or a related field. 3+ years of experience as a Platform Engineer, Machine Learning Engineer, or Data Engineer. Flexibility in experience with various programming languages and a willingness to adapt to project needs. Strong knowledge of machine learning algorithms, data pre-processing methods, and ML frameworks (e.g., PyTorch, TensorFlow, Keras). Experience working 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 the ability to convert business needs into technical requirements. Understanding of software testing, benchmarking, and continuous integration. Exceptional leadership, communication, and problem-solving skills, with the capability to resolve complex challenges and develop innovative solutions. Self-motivated and adaptable, thriving in fast-paced, dynamic environments. Ideal candidates will also have: Familiarity with big data technologies, such as Hadoop, Spark, or Hive is a plus. Any associate Cloud Certification is advantageous. Responsibilities: Lead the AI/ML practice at Janea Systems and devise strategies alongside clients. Design scalable data pipelines and infrastructure for enterprise ML systems. Implement offline models into production by creating real ML systems. Collaborate with data scientists and software engineers to operationalize and deploy machine learning models in production settings. Deploy scalable tools and services for machine learning training and inference. Evaluate new technologies to enhance 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 enhance efficiency and reproducibility. Work with cross-functional teams to troubleshoot and resolve issues tied to machine learning deployments. Stay informed about industry trends and leverage knowledge to drive innovation. Promote industry best practices and improve team expertise. Why join Janea?
Because exceptional talent deserves extraordinary opportunities. What we offer: Competitive compensation with benefits, paid vacation, and sick leave. The chance to collaborate with a globally diverse team of top engineering talent on complex engineering challenges. Ultra-flexible working conditions with a generous office equipment allowance to facilitate remote work; you may also utilize a desk at a nearby office or coworking facility. No business travel needed. An enjoyable, start-up work environment, with excellent opportunities for professional growth and development. Flexible working hours, as a remote-first company focused on results rather than location or time.
Sprachkenntnisse
- English
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