Machine Learning Engineer

1 week ago


Ho Chi Minh City, Ho Chi Minh, Vietnam Ogilvy Full time

About Verticurl:

  • Topnotch professionals from around the world are joining the Verticurl team for:_
- _Opportunities to join a fast-growing global organization that specializes in MarTech_
- _Flexibility to show off your MarTech muscle and sharpen your digital marketing technology skills_
- _Recognition and appreciation for hard work, smart thinking, and expertise_

We are looking for a highly skilled ML Engineer/Architect to join our dynamic team.

As an ML Engineer/Architect, you will work closely with Data Architects and Digital Engineering teams to build ML powered experiences.

You will be responsible for training ML models for industry-specific use cases.

Responsibilities:

  • Work closely with data architects and digital engineering teams to design and implement machine learning models and pipelines
  • Develop and implement data preprocessing and feature engineering techniques
  • Create synthetic data for model training
  • Build and train models using foundational models and develop custom models for industryspecific use cases
  • Conduct experiments to evaluate model performance and optimize hyperparameters
  • Collaborate with crossfunctional teams to build and deploy machine learning models to production
  • Continuously improve the performance and scalability of machine learning models
  • Stay uptodate with the latest machine learning research and technology trends

Requirements:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related fields
  • Over all 712 years experience with 3+ years of experience in building and deploying machine learning models.
  • Experience with modern LLM models and neural networks
  • Strong programming skills in Python, R, Java, or other languages
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn
  • Experience with MLOps tools and technologies
  • Familiarity with data preprocessing and feature engineering techniques
  • Strong analytical and problemsolving skills
  • Excellent communication and collaboration skills


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