Welocalize

AI/ML R&D Engineer

Welocalize

full-time

Posted on:

Location Type: Remote

Location: Greece

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Tech Stack

AWSCloudDockerEC2PythonPyTorchScikit-LearnTensorflow

About the role

  • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance
  • Take ownership of key projects from definition to deployment, ensuring that they meet technical requirements and maintain momentum and direction until delivery
  • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
  • Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
  • Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure
  • Use AWS technologies (including but not limited to Sagemaker, EC2, S3) to deploy and monitor production environments
  • Keep abreast of developments in the field, with a dedication to learning in the role
  • Document diligently and communicate thoughtfully about ML experimentation, design, and deployment

Requirements

  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
  • Minimum 3+ years experience as a Machine Learning Engineer or similar role
  • Ability to write robust, production-grade code in Python
  • Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
  • Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with natural language processing (NLP) techniques and tools
  • Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
  • Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies
  • Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments.
Benefits
  • Professional development opportunities
  • Flexible working arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningmachine translationLLM finetuningquality assurancePythonTensorFlowPyTorchScikit-learnnatural language processingdeep learning
Soft Skills
project ownershipcommunicationmentoringproblem-solvingdocumentation
Certifications
BSc in Computer ScienceBSc in MathematicsMaster’s degree