AI ML R&R Engineer at Welocalize

Spain

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

LocalizationIndustries

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
Excellent communication and documentation skills
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
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

Responsibilities

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
Perform statistical analysis and fine-tuning using test results
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
Project scope: Define and design solutions to machine learning problems. Integration with larger systems done with the guidance of more senior engineers

Skills

Key technologies and capabilities for this role

PythonTensorFlowDockerMLflowAWSSageMakerEC2S3Machine LearningLLM FinetuningMachine Translation

Questions & Answers

Common questions about this position

What are the main responsibilities of the AI ML R&R Engineer role?

The role involves designing and developing machine learning models for localization processes like machine translation and LLM finetuning, taking ownership of projects from conception to deployment using AWS, Docker, and MLFlow, and optimizing models against business goals.

What technical skills and tools are required for this position?

Key skills include Python, TensorFlow, Docker, AWS services like Sagemaker, EC2, S3, and MLFlow, along with experience in machine learning model development, statistical analysis, and deployment.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Machine Learning Engineer role?

Strong candidates demonstrate effective model development that is accurate and efficient, positive team collaboration, continuous learning, clear communication of findings, and adherence to best practices in ML experimentation and deployment.

Welocalize

Provides AI-driven content localization services

About Welocalize

Welocalize assists businesses in enhancing customer engagement by providing localized content that meets the cultural and linguistic needs of different regions. Their AI-enabled Service Delivery Platform, OPAL, streamlines the translation and approval processes, allowing companies to reduce costs and improve efficiency. Unlike competitors, Welocalize leverages AI and automation to deliver services more effectively, resulting in better business outcomes for clients. The company's goal is to empower businesses to connect with international customers through advanced localization solutions.

New York City, New YorkHeadquarters

1997Year Founded

$33.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees