Senior Python Engineer
Sophos
AWSAzureCloudCyber SecurityDistributed SystemsDjangoDockerElasticSearchFlaskKubernetesLinuxMicroservices+5 more
Senior Engineering Manager, Machine Learning
Zendesk
full-time
Posted on:
Origin: • 🇵🇹 Portugal
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudDockerKubernetesPython
About the role
- Architect, implement, and oversee scalable machine learning and LLM solutions, focusing on robust system design.
- Partner closely with ML engineers, data scientists, analysts, product managers, and business stakeholders to deliver production-ready AI features and models at enterprise scale.
- Manage and mentor a team of ML engineers and data scientists, fostering a culture of technical excellence and cross-functional collaboration.
- Engage proactively with business units to identify ML and LLM opportunities and prioritize initiatives.
- Distill complex ML and system architecture concepts into clear insights for technical and non-technical audiences.
- Champion MLOps best practices: CI/CD for models, data contracts, monitoring, automation.
- Oversee instrumentation, monitoring, compliance, data integrity, and security.
- Stay current with cloud, data engineering, and AI/ML infrastructure advancements.
Requirements
- 5+ years of experience in a machine learning, data science, or ML engineering role (with 2+ years in a leadership/managerial capacity).
- Bachelor’s degree in Computer Science, Data Science, or related field; advanced degree preferred.
- Deep knowledge of statistical modeling, large-scale machine learning, and modern LLM stack implementation.
- Proficiency with deployment, containerization (Docker, Kubernetes), and automation pipelines.
- Demonstrated experience architecting and deploying machine learning systems that scale, preferably on cloud platforms (AWS, Snowflake).
- Strong record of translating analytical insights into impactful business actions.
- Familiarity with leading MLOps tools and best practices (CI/CD for ML, system monitoring, data contracts, automation).
- Proficiency with Python.
- Skilled in large dataset processing, data pipeline design, and modern data stack (e.g., dbt, Astronomer).
- Outstanding communication skills.
- Thought leadership in AI/ML.
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