Adobe Systems

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Design, implement, and optimize scalable ML platforms and distributed systems powering large-scale workloads. Develop production-grade Python software, containerized with Docker and Kubernetes, in a multicultural, hybrid environment. Mentor peers, set engineering standards, and drive architecture discussions across global teams to deliver high-performance ML infrastructure.

Location: Bucharest

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, build, and maintain components of ML platforms with a focus on scalability, reliability, and performance.
•Develop high-quality, production-grade software using Python.
•Containerise and orchestrate applications with Docker and Kubernetes.
•Apply advanced software development patterns to ensure clean, maintainable, and reusable code.
•Work with relational and non-relational databases, ensuring data integrity and efficient queries.

Key Requirements

•Python: Proficient, with extensive experience in production environments.
•Docker: Advanced knowledge of containerization, image optimization, and best practices.
•Kubernetes (K8s): Advanced experience in deploying, scaling, and managing workloads.
•Development Patterns: Advanced understanding of design patterns, clean architecture, and software engineering principles.
•Databases: Advanced experience with SQL/NoSQL databases, schema design, and optimization.

Experience:Machine learningDistributed systemsSoftware development

Skills:PythonProblem-solvingCommunicationTeamworkMentoring

Languages:English

Tech Stack:PythonDockerKubernetesSQLNoSQLArchitectureDesign patterns

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Bucharest

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, build, and maintain components of ML platforms with a focus on scalability, reliability, and performance.
•Develop high-quality, production-grade software using Python.
•Containerise and orchestrate applications with Docker and Kubernetes.
•Apply advanced software development patterns to ensure clean, maintainable, and reusable code.
•Work with relational and non-relational databases, ensuring data integrity and efficient queries.

Key Requirements

•Python: Proficient, with extensive experience in production environments.
•Docker: Advanced knowledge of containerization, image optimization, and best practices.
•Kubernetes (K8s): Advanced experience in deploying, scaling, and managing workloads.
•Development Patterns: Advanced understanding of design patterns, clean architecture, and software engineering principles.
•Databases: Advanced experience with SQL/NoSQL databases, schema design, and optimization.

Experience:Machine learningDistributed systemsSoftware development

Skills:PythonProblem-solvingCommunicationTeamworkMentoring

Languages:English

Tech Stack:PythonDockerKubernetesSQLNoSQLArchitectureDesign patterns

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor