Everseen: A leader in vision AI solutions for the world’s leading retailers.
What you'll do
Design and Development:
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities.
Ensure that the developed solutions meet project objectives and enhance user experience.
Influence and Decision-Making:
Have influence over the technology stack and internal technical improvements, contributing to strategic decision-making.
Coding:
Based on requirements and a longer-term product and feature strategy, design and implement reusable, testable, efficient, and elegant code.
Ensure adherence to coding standards and best practices.
Testing:
Create, maintain, and run unit tests for new and existing applications and services.
Aim to deliver defect-free and well-tested solutions.
Data Analysis:
Analyze 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. Based on this, begin to implement changes.
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 Solutions:
Research and propose third-party software solutions to optimize system performance.
Expand product capabilities by integrating compatible third-party solutions.
Monitor update and tracking of third-party solutions' compatibility with Everseen stack according to internal development guidelines
Monitoring and Troubleshooting:
Monitor production logs to identify and troubleshoot issues promptly.
Ensure seamless operation and timely resolution of any anomalies to maintain system reliability.
Documentation:
Responsible for creating, reviewing, and maintaining high-quality technical documentation to ensure clarity, consistency, and knowledge sharing within the development team.
Collaborate with
AI/ML Engineering team
Data Engineering team
Software Development Engineers
DevOps team
Product Managers
Security & Compliance Teams
Profile and Skills
3-4+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and collaboration skills.
Technical Skills:
Experience in ML infrastructure, MLOps, or Platform Engineering.
Strong programming skills, with experience in Front-End development, in React and Angular
Understanding ML lifecycle, model versioning, and monitoring
Experience with back-end frameworks on top of NodeJS ( NestJS )
Hands-on experience with Kubernetes, Docker, and cloud services.
Experience with CI/CD tools (e.g., GitLab, Jenkins).
Excellent communication and collaboration skills.
Experience with 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.
Additional Skills
Interest in Learning and Growth Mindset:
Demonstrated 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 Skills:
Possesses strong analytical and problem-solving abilities, leveraging data to inform product decisions. This skill is essential for identifying market opportunities, optimising product features, and addressing challenges effectively.
