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Machine Learning Engineer- AI Translation - LATAM
Machine Learning Engineer- AI Translation - LATAMMatch Point Solutions • United States
Machine Learning Engineer- AI Translation - LATAM

Machine Learning Engineer- AI Translation - LATAM

Match Point Solutions • United States
2 days ago
Job type
  • Full-time
  • Quick Apply
Job description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title : Staff Machine Learning Engineer, AI Translation

Location : Brazil, LATAM (remote)

Duration : 12 months

$45 - $50 / hr on W2

About the Role :

As a Staff 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.

Your Expertise :

  • 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.
  • MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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