Senior Software Engineer - Machine Learning

Posted 7 months agoViewed

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💎 Seniority level: Senior, 3+ years

📍 Location: Europe

🔍 Industry: Software development

🏢 Company: Janea Systems

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSLeadershipSoftware DevelopmentGCPKerasKubeflowKubernetesMachine LearningPyTorchAirflowAlgorithmsAzureData scienceTensorflowCI/CDProblem Solving

Requirements:

Bachelor's or Master’s degree in Computer Science or related field.
3+ years of experience as a Platform Engineer, ML Engineer, or Data Engineer.
Flexibility in programming languages as per project needs.
Strong knowledge of machine learning algorithms and frameworks (e.g., PyTorch, TensorFlow).
Experience with cloud environments (AWS, MS Azure, or GCP) and Kubernetes.
Familiarity with workflow orchestration frameworks (e.g., KubeFlow, Airflow).
Experience with open source ML tools.
Understanding of software testing and continuous integration.
Excellent leadership, communication, and problem-solving skills.
Self-motivated and adaptable in dynamic environments.

Responsibilities:

Drive the AI/ML practice and develop strategies with clients.
Design scalable data pipelines and infrastructure for ML systems.
Implement offline models into production.
Collaborate with teams to deploy machine learning models.
Deploy tools for training and inference.
Evaluate new technologies to enhance ML system performance.
Apply best practices including CI/CD in ML development.
Facilitate development of ML proof-of-concepts.
Optimize and monitor data science models.
Ensure reliability and performance of ML systems.
Automate ML deployment processes.
Collaborate to troubleshoot ML deployment issues.
Stay updated with industry trends.

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🔧 Requirements

Experience in Software/Data engineering, or a related field with a solid experience either Python, Rust.
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Previous experience using cloud technology, Kubernetes, AWS/Azure.
Knowledge of Machine learning (& Deep Learning).
Experience deploying models to production.

💡 Responsibilities

Take ownership over the projects you build and push them ahead.
Design, prototype, build and maintain microservices & APIs that deliver data and models to teams and projects across Ubisoft.
Build pipelines and batch processes that move and transform data.
Build and manage a scalable infrastructure in the cloud.
Participate in the decisions and implementations to improve the platform’s quality while be a key member.
Participate in proof-of-concept projects to advance understanding of new data and ML related technologies, while furthering your own knowledge and skills as well.
Write, optimize, and produce high quality code that can run at scale, using modern best practices (MLOps).
In collaboration with data and machine learning engineers, ship models or prediction pipelines to production in our internal or public cloud infrastructures.

AWSPythonKubernetesMachine LearningAzureData engineeringREST APIRustCommunication SkillsCollaborationDevOpsMicroservicesSoftware Engineering

Posted 6 months ago

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