Senior Machine Learning Engineer

IT Cardinal Partners LLC; Brasil; Remote; BRL 150,000 - 200,000; Full time

Job summary

A leading AI solutions company is seeking a Machine Learning Engineer for a remote position based in Brazil. The role involves developing machine translation models and collaborating across teams to enhance communication capabilities globally. Ideal candidates should have over 9 years of relevant experience and strong programming skills.

Qualifications

• 9+ years of industry experience in applied Machine Learning.
• Deep familiarity with language modeling & NLP applications.
• Strong grasp of trends in LLMs and related technologies.

Responsibilities

• Collaborate closely with Customer Support to enhance translation capabilities.
• Design scalable machine translation models for a global platform.
• Develop tooling and infrastructure for machine translation processes.

Skills

Programming (Scala / Python / Java / C++)

Data engineering skills

Machine learning development practices

Collaboration skills

Experience with PyTorch

Knowledge of NLP applications

Education

MS or PhD in relevant fields

Tools

PyTorch

HuggingFace

Nvidia Triton

Job description

Machine Learning Engineer, AI Translation

Location: REMOTE from Brazil (must)

Duration: 12+ months

About the Role

As a ML Engineer on the Translation AI team, you will play a critical role in accelerating the development and deployment of Translation AI. Machine Translation is critical to team objectives, as we operate on a global scale and in the travel domain it is critical to ensure our guests and hosts can communicate across languages effectively.

A Typical Day

• Collaborate closely with teams across the company—such as Customer Support to deliver powerful machine translation capabilities for the entire company. Partners with teams to help identify and prioritize translation-related challenges and opportunities.
• Design and implement scalable machine translation models to improve accuracy and reduce cost and latency for the global platform.
• Develop tooling, pipelines, and low-level infrastructure (in collaboration with the ML Infrastructure team) that ensures we have a flexible foundation for machine translation spanning data preparation, evaluation, model selection / training, and inference.
• Work with cutting-edge open-source models including Llama, as well as commercial Translation offerings.

Must Have

• 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
• Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
• Deep familiarity with machine learning development practices, especially for language modeling & NLP applications.
• Prior experience with deploying or supporting production ML systems at large scale - including operational experience on observability, continuous evaluation and improvement, progressive rollouts.
• Familiarity with OSS tools and technologies such as: PyTorch, LlamaFactory, HuggingFace, NVidia Triton / TRTLLM, Ray.
• Passionate about GenAI with a strong grasp of current trends in LLMs and related technologies. Deep understanding of GenAI models and their strengths/weaknesses, and ability to define the criteria for the right models/technologies to use to balance tradeoffs between quality, cost, performance, ease of operation and extensibility.
• Strong communication and cross-team collaboration skills.
• You may currently hold titles such as ML Engineer, Applied Scientist, or Data Scientist.

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