Search
Go
Ingénieur Machine Learning OPS
Summary by AIEngineer.careers
Ingénieur Machine Learning OPS is a MLOps Engineer role (full-time). with Startup Talents. in NEUILLY-SUR-SEINE, FR. Imported listing (source: thejobsmap.com). Apply on the employer's site (thejobsmap.com).
Imported listing (source: thejobsmap.com) · Apply on thejobsmap.com
NEUILLY-SUR-SEINE · FR
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from thejobsmap.com
Join a 250-person software editor specializing in Big Data and predictive consumer behavior solutions as an MLOps Engineer. You will build and productionize AI/ML solutions, working primarily in Python with Java/Go as needed. The role involves developing APIs, participating in POCs, and maintaining existing services within a Data Science team of 8. Hybrid work in Paris/92 with 2 days remote per week.
Responsibilities
- Build and deploy AI solutions in Python, Java, and/or Go
- Productionize machine learning algorithms
- Develop and test software including APIs, networking basics, shell usage, and tests
- Participate in proofs of concept (POCs)
- Maintain and evolve existing services
Requirements
- Minimum 2 years of full-time experience on ML or similar topics (professional, personal project, thesis, etc.)
- Experience taking a machine learning project from design to production
- Strong programming skills in Python, Java, Go with clean, readable, maintainable code
- Familiarity with Git, GitHub, Docker, GitLab CI, Kubernetes, ArgoCD
- Data Engineering: Apache Spark, Hadoop Yarn, Message Queue (RabbitMQ, Kafka)
- Databases: HBase, Elasticsearch, Vector Database (Milvus)
Startup Talents
Paris · FR
The search results identify Startup Talents as a staffing and recruiting initiative associated with Grenoble INP. It helps students and graduates of Grenoble INP schools find jobs in startups.
