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.
  
  

Note: Our company policy strictly prohibits moonlighting while employed with us. Employees are expected to dedicate their full working hours to our organization. Any engagement in secondary employment, freelance work, or consulting services during scheduled work hours or that could potentially conflict with our business interests is not permitted. We value dedication, commitment, and integrity in our team members and expect all employees to adhere to this policy.