
Transforming global content for diverse audiences
Welocalize, founded in 1997 and headquartered in Midtown South, New York, NY, is the 4th largest language service provider in North America and the 9th globally. With over 250 language options, Welocalize transforms and localizes content for 2,000+ clients, including major brands like Disney, Uber, ...
Welocalize offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment to support work-life balance. Em...
Welocalize fosters a culture of inclusivity and global awareness, emphasizing the importance of language diversity. The company is committed to levera...

Welocalize • Spain
Welocalize is seeking an AI Machine Learning R&D Engineer to design and implement machine learning solutions. You'll work with AWS services, Docker, and MLflow to optimize model performance. This role requires hands-on experience in machine learning and project ownership.
You have a strong background in machine learning and AI, with hands-on experience in designing and implementing solutions that drive business value. You are comfortable taking ownership of projects from conception to deployment, ensuring that best practices are followed throughout the process. Your experience with AWS technologies, including EC2 and S3, allows you to leverage cloud services effectively. You are also familiar with ML management technologies and deployment techniques, such as Docker and GPU deployments, which are essential for optimizing model performance.
You possess excellent communication skills, enabling you to collaborate effectively with stakeholders and mentor junior team members. Your ability to analyze and measure the performance of models and algorithms is crucial in ensuring that they meet business objectives. You are detail-oriented and have a strong understanding of the latest trends and advancements in machine learning and AI.
Experience with additional AWS services like SageMaker and SNS would be a plus, as would familiarity with various machine learning frameworks and libraries. A background in natural language processing (NLP) is also desirable, given the focus on language services at Welocalize.
As an AI Machine Learning R&D Engineer at Welocalize, you will be responsible for the design, development, and implementation of machine learning solutions that enhance our multilingual content transformation services. You will oversee projects from conception to deployment, ensuring that they align with business goals and deliver high-quality results. Your role will involve collaborating with cross-functional teams to gather requirements and translate them into technical specifications.
You will utilize AWS services to build scalable and efficient machine learning models, employing tools like Docker for containerization and MLflow for managing the machine learning lifecycle. Your expertise will help optimize and measure the performance of our models, ensuring they meet the needs of our global clients.
In addition to technical responsibilities, you will mentor junior team members, sharing your knowledge and experience to foster their growth. You will also stay updated on industry trends and advancements, continuously seeking ways to innovate and improve our machine learning capabilities.
At Welocalize, you will be part of a dynamic team that is driving innovation in language services. We offer a collaborative work environment where your contributions will have a direct impact on our clients' success. You will have access to ongoing training and development opportunities to enhance your skills and advance your career.
We value diversity and encourage you to apply even if your experience doesn't match every requirement. Our culture promotes inclusivity and supports work-life balance, ensuring that you can thrive both personally and professionally. Join us in transforming the way brands engage with international audiences through cutting-edge machine learning solutions.
Apply now or save it for later. Get alerts for similar jobs at Welocalize.