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Sr Software Development Engineer - ML OPs

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Everseen

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Location:
Serbia , Belgrade

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Everseen is a leader in vision AI. We are transforming business operations for global retailers, driving measurable business value and improving the customer experience. We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our mission is to protect people, process, products and profitability within the retail sector and beyond. We are 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. We are operationalizing vision AI at an unprecedented scale with the largest global footprint of edge AI powered Computer Vision in Retail.

Job Responsibility:

  • Shares skills, knowledge, and expertise with members of the data engineering team
  • Fosters a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
  • Collaborates 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
  • Have influence over the technology stack and internal technical improvements, contributing to strategic decision-making
  • 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
  • Creates, maintains, and runs unit tests for new and existing applications and services
  • Aims to deliver defect-free and well-tested solutions
  • Analyzes and collect data from various sources such as log files, application stack traces, and thread dumps
  • Utilizes data analysis to identify trends, patterns, and potential areas for improvement
  • Based on this, begin to implement changes
  • Creates and maintains CI/CD integration using various tools
  • Automates the build, test, and deployment processes to ensure efficiency and reliability
  • Researches and proposes third-party software solutions to optimize system performance
  • Expands product capabilities by integrating compatible third-party solutions
  • Monitors update and tracking of third-party solutions' compatibility with Everseen stack according to internal development guidelines
  • Monitors production logs to identify and troubleshoot issues promptly
  • Ensures seamless operation and timely resolution of any anomalies to maintain system reliability
  • Responsible for creating, reviewing, and maintaining high-quality technical documentation to ensure clarity, consistency, and knowledge sharing within the development team

Requirements:

  • 4-5 years of work experience in a relevant role and global SaaS company
  • Bachelors degree or equivalent focusing on the computer science field is preferred
  • Excellent communication and cross-functional collaboration skills
  • Comfort working in ambiguous and fast-evolving environments
  • Expert knowledge of Python
  • Experience 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 concepts
  • Familiarity 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)
  • Experience with GPU orchestration (e.g., NVIDIA GPU Operator, MIG)
  • Experience with Infrastructure as Code (e.g., Terraform)
  • Experience with 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
  • 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 Information:

Job Posted:
February 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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