Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("In Remote - Global: Software Engineer"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€3,751–€16,711). The listed pay band (€616–€943) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 33 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Engineer | €3,500/per month | €5,750/per month | €12,303/per month |
| In Remote - Global: Software Engineer | €3,751/per month | €11,032/per month | €16,711/per month |
| This job's pay range — not quoted in ad (Senior) | €616/per month | €779/per month | €943/per month |
Senior Software Engineer - Machine Learning at Janea Systems (USA) is a dynamic team of software engineering specialists and solutions innovators. We provide high-impact software development services to Fortune 500 companies. We are urgently looking for an exceptionally talented Senior Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will have the opportunity to work at the cutting edge of the software industry and help work on the client's internal AI/ML practice, as well as utilize your LLM, Data Engineering, ML, and ML Ops skills while working with a team of highly skilled professionals in the AI/ML domain. Location: Remote 100%. Compensation: Salary. Work Schedule: Full time/ Flexible working hours. Reports to: Team Lead. Member of: Engineering Team. To be considered, you must have: Bachelor's or Master’s degree in Computer Science or related field; 4+ years of experience as a Software Engineer/Platform ML/Data Scientist/AI Engineer; Python; ML frameworks; containers and Kubernetes; data workflow orchestration (KubeFlow, Airflow, Argo); CI/CD; strong communication; self-motivation. Responsibilities include designing scalable data pipelines, deploying ML models, collaborating with data scientists and engineers, monitoring, and staying updated with industry trends. Perks include flexible working conditions and a generous equipment allowance for remote work. Why join Janea? We offer competitive compensation with benefits, vacations, and sick leave, plus opportunities for growth and a remote-friendly setup.
Job Details
Responsibilities
- 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 related field
- 4+ years of experience as a Software Engineer, Platform Engineer, ML Engineer, Data Scientist, AI Engineer, or Data Engineer
- 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 CI
- Excellent communication and problem-solving skills
- Self-motivated and adaptable
Skills & Technologies
Education Level
Masters
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