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Software Development Engineer III - ML Ops- Fullstack
Software Development Engineer III - ML Ops- Fullstack
Requisitos
What you’ll do (Main responsibilities)
- Design and Development
- Collaborate with cross-functional teams to design and develop new features and functionalities.
- Ensure that the developed solutions meet project objectives and enhance user experience.
- Coding
- Design and implement reusable, testable, efficient, and elegant code based on requirements.
- Ensure adherence to coding standards and best practices.
- Testing
- Create, maintain, and run unit tests for both 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.
- 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
- Evaluate 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 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, maintaining, and updating technical documentation to ensure code, systems, and processes are clearly understood and easily accessible by team members and stakeholders.
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).
- 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.
Anuncio original
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.
Collaborating With
- AI/ML Research team
- Data Engineering team
- Data Annotation team
- Software Development Engineers
- DevOps team
- Product Managers
- Security & Compliance Teams
About Everseen
Shrink and inefficiency cost global retailers more than a hundred billion dollars each year. But Everseen is changing that equation. We are a leader in vision AI, transforming business operations for global retailers by reducing shrink, improving operations, and delivering a better customer experience.
Supporting 11 of the top 20 global retailers, Everseen's AI innovations help retailers save millions of dollars every month. Its flagship product, Evercheck, is deployed in 10,000 retail stores and 150,000 checkouts globally. Everseen operates at unmatched scale, processing over 15 million transactions, and more than six petabytes of video data, daily.
Trusted by major food, drug, mass, and specialty retailers around the world - including Kroger, Meijer, and Woolworths - we also partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell.
Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 700 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain.
We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our culture is built on accountability, collaboration, and high standards. We take ownership of outcomes, prioritise our customers, operate as one team, move quickly with purpose, and continually raise the bar in everything we deliver.
Our Culture
Our culture is built on ownership and accountability, we own outcomes, not tasks. We stay relentlessly customer-first, letting their needs shape our priorities and decisions.
We work as one team: we challenge ideas, align quickly, and commit together. We move with pace, without compromising on simplicity or quality. And every day, we raise the bar, strengthening our talent, pushing innovation forward, and maximizing our impact.
Our Values
We OWN THE OUTCOME. No silos, no excuses.
We ARE CUSTOMER-FIRST. They guide our decisions.
We ARE ONE TEAM. Debate, decide, commit.
We MOVE WITH PACE. With simplicity and quality.
We RAISE THE BAR. On talent, innovation and impact.
Our Commitment
Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion.
Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as, race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.
Candidatura gestionada por Everseen