Senior Machine Learning Engineer

WHO WE ARE:
Talend, a leader in data integration and data governance, is changing the way the world makes decisions. In order to compete and win, IT and business leaders need data that they can trust and understand instantly. Talend Data Fabric is the only platform that seamlessly combines an extensive range of data integration and governance capabilities to actively manage the health of corporate information. This unified approach is unique and essential to delivering complete, clean, and uncompromised data in real-time to all employees. It has made it possible to create innovations like the Talend Trust Score™, an industry-first assessment that instantly quantifies the reliability of any data set. Over 7,250 customers have chosen Talend to run their businesses on healthy data. Talend is recognized as a leader in its field by leading analyst firms and industry media. We pride ourselves in our values of Passion, Agility, Team Spirit, and Integrity. Every one of our 1,400 employees brings a certain je ne sais quoi that makes Talend special.

As a member of the Intelligent Service, you will be part of the team deploying state-of-the-art MLOps infrastructure solutions for the production of Talend Product ML based features. As a ML Ops you will take part to the design, implementation, run and maintenance of the platform to deploy and monitor into production ML models developed by Data Scientist as scalable ML Services to be used by Talend end-users.
Responsibilities:
·       Design implement and manage in production the cloud native engineering infrastructure for the deployment of Talend Cloud App data collection pipelines and to support the enterprise machine learning systems at scale·       Take offline models built by data scientists and turn them into a real machine learning production API service·       Develop and deploy scalable infrastructure and services for Talend Product teams to handle machine learning training and inference·       Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems·       Apply software engineering rigor and best practices including CI/CD, automation, etc. with an emphasis on data security·       Facilitate the development and deployment of proof-of-concept machine learning systems Skills:·       Experience building end-to-end systems as a Platform Engineer, ML/Dev Ops Engineer, or Data Engineer (or equivalent)·       Strong software engineering skills in complex, multi-language systems·       Fluency in Clojure and ability to learn new languages quickly·       Experience developing microservices with containers and Kubernetes in cloud computing environments (AWS preferred)·       Experience building custom integrations between cloud-based systems using APIs·       Experience with distributed event store and streaming platform (ex: Apache Kafka)·       Comfort with Linux development environment·       Comfort with Infra-as-Code methodology (ex : Terraform, Strimzi)·       Strong understanding of software testing, performance benchmarking, and continuous integration (ex: Jenkins, Github actions)Nice to Have: ·       Familiarity with some MLOps platform (ex: Sagemaker)·       Exposure to machine learning methodology in Production environment and best practices·       Familiarity with one or more data-oriented workflow orchestration frameworks (ex: MLFlow, KubeFlow) Education & Experience
2–5 years experience building production-quality software#LI-CL1#LI-REMOTE
AND NOW, A LITTLE ABOUT US:
Talend has received some pretty impressive accolades along the way:
- 7,250+ global customers rely on Talend for their data health- Named a Leader for Data Integration Tools by Gartner (for the 7th year in a row)- Named a Leader for Data Integration Tools by Gartner (for the 4th year in a row)- Named a Leader in The Forrester Wave™: Enterprise Data Fabric (for the 2nd time in a row)- Top 100 best Leadership teams 2022 by Comparably.com- Ranked in the DBTA “100 Companies that Matter Most in Data” We are passionate about helping companies become more data driven; and, if we can be honest, we are all geeks at heart who pride ourselves on the vibrant company culture that we have built. 

As a global employer, Talend believes our success depends on diversity, inclusion and mutual respect among our team members. We want to look like our customers, and we recruit, develop and retain the most hardworking people from a diverse candidate pool. We are committed to making all employment decisions on the basis of business need, merit, capability and equality of opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us via email to request an accommodation at accommodation@talend.com. We appreciate your interest in Talend.

Notice to Recruiters and Staffing AgenciesTalend SAS and its affiliates ("Talend") have an internal recruiting, or talent acquisition, department (“TA”). Talend may supplement this internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters ("Agency"). Agencies are hereby specifically directed NOT to contact Talend employees directly in an attempt to present candidates. To protect the interests of all parties, Talend will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Talend, including unsolicited resumes sent to a Talend mailing address, fax machine, email address or any other means, directly to Talend employees, or to Talend's resume database will be considered Talend property and therefore will NOT be liable for any placement resulting from the receipt of an unsolicited resume.
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