Junior Machine Learning Engineer – Remote (Experience Level 2-4 Years)

Localizationacademy; California (MO); Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is on the lookout for a Junior Machine Learning Engineer to join their dynamic team. In this role, you'll be at the forefront of developing and fine-tuning Machine Translation and Large Language Model programs that enhance global communication. Collaborating with cross-functional teams, you will lead initiatives that drive localization excellence and support internal operations. This position offers a unique opportunity to work with cutting-edge technologies and make a meaningful impact in the field of localization. If you're passionate about Machine Learning and eager to contribute to exciting projects, this role is perfect for you.

Qualifications

• Strong foundation in Machine Learning and MLOps practices.
• Experience with model evaluation and customization for clients.

Responsibilities

• Design and implement MT and LLM programs for global communication.
• Collaborate with teams to select and deploy effective MT models.

Skills

Machine Learning

MLOps

Machine Translation

Model Evaluation

Stakeholder Management

Education

Bachelor's Degree in Computer Science or related field

Tools

Python

TensorFlow

PyTorch

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ERPMark Inc, is seeking the following. Apply via Dice today!

Title: Junior Machine Learning Engineer

Experience Level: 2-4 Years

Location: Remote

Contract

Job Description:

Machine Learning/LLMOps/MLOps Operations with a robust background in Machine Learning (ML).

In this pivotal role, you will support our Machine Translation (MT) and Large Language Model (LLM) programs by building and fine-tuning models, performing evaluations, and driving technical programs while writing code to enhance translation quality, scalability, and cost-effectiveness.

Your technical expertise and commitment to quality will guide research into the most promising MT and LLM models, ensuring they meet the needs of both internal and external clients.

Working closely with the Localization (L10n) team, cross-functional teams within the client, vendors, MLOps/LLMOps specialists, and external clients, you will lead the development of in-house Machine Translation and LLM models.

These models aim to transform support for global teams, aligning with our commitment to localization and international communication excellence.

What You'll Do

• ML Development and Execution: Design and implement comprehensive MT and LLM programs that support internal operations and external clients, facilitating effective global communication and localization strategies.
• Model Selection and Evaluation: Collaborate with the Localization Technology (LocTech) team and ML/LLM/AI engineers to select, evaluate, analyze, train, and deploy effective MT and LLM models, customizing them for clients.
• Stakeholder Management: Develop and maintain relationships with stakeholders relying on MT and LLM for translations, and work with the quality team to define quality frameworks and thresholds to improve translation impact.
• Cross-functional Leadership: Engage with localization teams and external partners to lead tool-related discussions and initiatives, including gathering requirements and overseeing implementation to enhance localization efforts.

Regards,
Kevin