Engineering Manager Job at Everseen (Belgrade)

Job Description

We are seeking an experienced software engineering lead for the Everseen ML Operations department. You and your team will extend the capabilities of our scalable ML Ops infrastructure that empowers our data scientists and machine learning engineers to develop, train, benchmark, and monitor our machine learning models efficiently. You will be instrumental in enhancing our internal Machine Learning Platform and driving automation, reproducibility, and performance across the machine learning lifecycle.

Job Responsibility

Manages and leads the team reporting to them
Manage the day-to-day running of the team and the projects
Has overall responsibility for the projects that the team is working on
Acts as a point of escalation for the team
Working with senior leadership to create strategic goals for their team
Measures performance of those goals
Monitors and supports team members' career paths
Evaluate team members' performance and propose promotions
Assesses and proposes team headcount adjustments based on the project roadmap and team capacity
Ensures the sharing of skills, knowledge, and expertise between members of the engineering team
Fosters a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Coordinates and drive progress with cross-functional teams in designing and developing new features and functionalities
Ensures that the developed solutions meet project objectives and enhance user experience
Ensures design and implementation of reusable, testable, efficient, and elegant code based on requirements and a longer-term product and feature strategy
Ensures adherence to coding standards and best practices
Ensures the evaluation, integration, and maintenance of third-party software solutions to optimize system performance
Ensures expansion of product capabilities by integrating compatible third-party solutions
Ensures seamless operation and timely resolution of any anomalies to maintain system reliability
Responsible for ensuring that documentation is clear, comprehensive, and up-to-date while overseeing its creation, maintenance, and adherence to organizational standards

Requirements

5+ years of experience in either ML infrastructure, MLOps, or Platform Engineering
5+ years of experience in leadership roles
Inspirational leadership, strategic vision, culture shaping approach
Strong programming skills – Python / Go
Hands-on experience with Kubernetes, Docker, and cloud services
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Excellent communication and collaboration skills
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
Proven ability to monitor and optimize cloud cost
Good Understanding of data privacy, RBAC, and model governance

Nice to have

Experience in Microsoft Azure or Google GCP cloud infrastructure and Machine Learning tools
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)
Knowledge of 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 optimization

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Engineering Manager

Job Description

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