Machine Learning Engineer

Job description

Job Description

6 month project

40hours per week

Start date: ASAP

A Machine Learning Engineer with a strong focus on Natural Language Processing and Generative AI. As an ML Engineer at UST/OA, you'll spearhead initiatives in the financial services and healthcare sectors, harnessing the power of data and AI to drive transformative solutions.

The Opportunity:

  • Collaborate closely with cross-functional teams to design and implement robust ML and NLP algorithms.
  • Seamlessly integrate varied data sources, ensuring optimal data integrity for model training
  • Design, develop, and deploy generative AI models, ensuring efficient operations in production environments.
  • Proactively address and optimize any performance issues in deployed models.
  • Continuously innovate, staying updated with the latest in ML, NLP, and Generative AI trends.

What You Need:

  • Bachelor’s Degree in Computer Science or related discipline
  • At least two years of hands-on experience in ML and NLP using Python.
  • Expertise in generative AI techniques and associated frameworks.
  • Familiarity with distributed computing tools such as Hadoop, Hive, and Spark.
  • Proven ability to deploy production-ready ML models, ensuring scalability and reliability.
  • Proficient in deep learning frameworks like PyTorch, TensorFlow, and Keras.
  • In-depth understanding of advanced NLP and generative algorithms.
  • Strong experience with scientific computation libraries such as NumPy, Pandas, and Scikit-Learn.
  • Mastery over data visualization using tools like Matplotlib and Seaborn.
  • Comprehensive understanding of experimental design, A/B testing, and advanced statistical techniques.
  • Proficiency with Git, GitHub, and Linux administration.
  • Demonstrated leadership in end-to-end ML project cycles, from conception to deployment.
  • Robust understanding of hyperscalers such as AWS, GCP, and Azure.
  • An intrinsic drive to innovate, combined with a problem-solving mindset.

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