Junior Machine Learning Engineer

Key Skills

Algorithms, Docker, Framework, Natural Language Processing (NLP), PyTorch, Scikit-learn, TensorFlow

Job Description

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. www.welocalize.com

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 ROLE

The Junior Machine Learning Engineer will support the design, development and implementation of machine learning solutions from conception to deployment with appropriate AWS services, Docker, MLFlow, and other that will serve our organization. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals. 

MAIN DUTIES

• The following is a non-exhaustive list of responsibilities and areas of ownership of the Junior Machine Learning Engineer:
• Support the 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
• Work alongside senior team members to implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
• Learn how to evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
• Follow best practices for machine learning management
• Keep abreast of developments in the field, with a dedication to learning in the role
• Document diligently and communicate thoughtfully about ML experimentation, design
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results

REQUIREMENTS

• Education
• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
• Experience
• 1+ year experience as a Machine Learning Engineer or similar role
• Ability to write robust, production-grade code in Python
• Excellent communication and documentation skills
• Knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
• Hands-on, proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
• Desirable Technical Skills and Experience
• Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc
• Experience with natural language processing (NLP) techniques and tools may be a plus