Everseen: A leader in vision AI solutions for the world’s leading retailers.
The Role
We are seeking a Full-Stack Engineer to be a key member of the Everseen ML Operations team. As part of that team, you will own the design and implementation of the front-end and back-end components of the Everseen internal ML platform, supporting the AI researchers requirements for dataset management and video/image annotation tools. You will be instrumental in shaping our internal Machine Learning Platform and driving automation, reproducibility, and performance across the machine learning lifecycle.
What you’ll do (Main responsibilities)
Design and DevelopmentCollaborate with cross-functional teams to design and develop new features and functionalities.Ensure that the developed solutions meet project objectives and enhance user experience.
CodingDesign and implement reusable, testable, efficient, and elegant code based on requirements.Ensure adherence to coding standards and best practices.
TestingCreate, maintain, and run unit tests for both new and existing applications and services.Aim to deliver defect-free and well-tested solutions.
Data AnalysisAnalyze and collect data from various sources such as log files, application stack traces, and thread dumps.Utilize data analysis to identify trends, patterns, and potential areas for improvement.Continuous Integration and Continuous Deployment (CI/CD):Create and maintain CI/CD integration using various tools.Automate the build, test, and deployment processes to ensure efficiency and reliability.
Integration of Third-Party SolutionsEvaluate and integrate third-party software solutions to optimize system performance.Expand product capabilities by integrating compatible third-party solutions.Update and track third-party solutions' compatibility with Everseen stack according to internal development guidelines
Monitoring and TroubleshootingMonitor production logs to identify and troubleshoot issues promptly.Ensure seamless operation and timely resolution of any anomalies to maintain system reliability.
DocumentationResponsible for creating, maintaining, and updating technical documentation to ensure code, systems, and processes are clearly understood and easily accessible by team members and stakeholders.
Collaborating With
AI/ML Research teamData Engineering teamData Annotation teamSoftware Development EngineersDevOps teamProduct ManagersSecurity & Compliance Teams
Profile and Skills
2-3 years of work experience in a relevant role and global SaaS company.
Technical Skills: Expert knowledge of PythonExperience with CI/CD tools (e.g., GitLab, Jenkins). Hands-on experience with Kubernetes, Docker, and cloud services.Understanding of ML training pipelines, data lifecycle, and model serving conceptsFamiliarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML).A demonstrated understanding of the ML lifecycle, model versioning, and monitoring.
Experience with:ML frameworks (e.g., TensorFlow, PyTorch)GPU orchestration (e.g., NVIDIA GPU Operator, MIG),Infrastructure as Code (e.g., Terraform).Data engineering tools (e.g., Snowflake, Databricks, BigQuery, Airbyte, Kafka)Familiarity with feature stores and model registries. Exposure to large-scale distributed systems and performance optimisation. Ability to work with Linux systems, including troubleshooting skills such as log investigations, performance testing, and connectivity investigation.Possesses a deep understanding of technical concepts and terminology relevant to Everseen's products and services. Expert knowledge of advanced concepts like microservices and distributed systems, indicating an understanding of modern software development architectures. In-depth knowledge of Azure Kubernetes Services for container orchestration, Azure Blob Storage for data storage, and ElasticSearch for search and analytics. Ability to leverage cloud computing technologies and services for testing and validation purposes. In-depth knowledge of cloud security, scalability, and performance optimization principles. Excellent understanding of cloud computing technologies and services, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Broad understanding of the software engineering and architecture space, including knowledge of various programming languages, frameworks, techniques, and industry trends in AI.
Technical SkillsPossesses a comprehensive understanding of technical concepts and terminology relevant to Everseen's products and services.Ability to work with Linux systems, including troubleshooting skills such as log investigations, performance testing, and connectivity investigation.Knowledge of advanced concepts like microservices and distributed systems, indicating an understanding of modern software development architectures.Advanced knowledge of a public cloud provider services, including Kubernetes services for container orchestration, Cloud data storage, testing processes.Good understanding of cloud security, scalability, and performance optimization principles.
Interest in Learning and Growth MindsetDemonstrated interest in learning and a strong desire to expand knowledge in their respective field.Curiosity to explore new technologies, methodologies, and best practices to enhance skills and capabilities.Results-oriented attitude, with a drive to achieve objectives efficiently.
Analytical and Problem-Solving SkillsPossesses strong analytical and problem-solving abilities, leveraging data to inform product decisions. This skill is essential for identifying market opportunities, optimizing product features, and addressing challenges effectively.
