AI Machine Learning R&D Engineer

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and / or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE OF JOB

The AI Machine Learning Research & Development Engineer role is responsible for the design, development, and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, ML Flow, and other tools. The role also includes responsibility for following best practices to optimize and measure the performance of our models and algorithms against business goals.

MAIN DUTIES

• Design and develop machine learning models and algorithms for localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance.
• Take ownership of projects from definition to deployment, ensuring technical requirements are met and maintaining momentum until delivery.
• Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems.
• Implement and optimize models using Python, TensorFlow, and other relevant frameworks.
• Perform statistical analysis and fine-tuning using test results.
• Deploy models using containerization (Docker) and cloud infrastructure.
• Use AWS technologies (Sagemaker, EC2, S3) for deployment and monitoring.
• Stay updated on field developments and continuously learn.
• Document experiments, designs, and deployment processes thoroughly.
• Define and design solutions for machine learning problems, with guidance from senior engineers for system integration.
• Success is measured by model accuracy, efficiency, effective collaboration, continuous learning, clear communication, and adherence to ethical AI practices.

REQUIREMENTS

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, or similar; PhD is a plus.
• Minimum 3+ years of experience as a Machine Learning Engineer or similar role.
• Proficiency in Python for production-grade code.
• Excellent communication and documentation skills.
• Strong knowledge of machine learning techniques, including supervised, unsupervised, deep learning, and reinforcement learning.
• Hands-on experience with frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Experience with NLP techniques and tools.
• Ability to explain complex concepts to non-technical stakeholders.
• Experience managing projects from conception to deployment and mentoring juniors.
• Experience with AWS (EC2, S3, Sagemaker, SNS) and deployment strategies (Docker, GPU deployment).

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