Hicks Professional Group - Baltimore, MD

posted 4 days ago

Full-time
Hybrid - Baltimore, MD
Professional, Scientific, and Technical Services

About the position

The Machine Learning Ops Engineer role focuses on developing applications and systems that leverage AI tools and Cloud AI services, ensuring production-ready quality in both cloud and on-premise environments. The position involves applying Generative AI models and encompasses various aspects of machine learning, including deep learning, neural networks, chatbots, and image processing.

Responsibilities

  • Develop applications and systems utilizing AI tools and Cloud AI services.
  • Ensure production-ready quality for cloud or on-prem application pipelines.
  • Apply Generative AI models as part of the solution.
  • Prototype various approaches and communicate their pros and cons effectively.
  • Provide technical guidance in NLP, Machine Learning, and Statistical Methods.
  • Contribute to data-driven approaches for business and NLP problems.
  • Foster a collaborative team environment.

Requirements

  • Master's degree with 2 years of experience or 6 years of relevant work experience.
  • Excellent oral and written communication skills.
  • Strong time management skills.
  • Proficiency in Python for developing, testing, and deploying production ML pipelines.
  • Experience with Regular Expressions, SQL (PostgreSQL), and No-SQL (MongoDB).
  • Familiarity with version control systems (Git).
  • Experience with ML frameworks such as Tensorflow, PyTorch, Scikit-learn, and others.
  • Knowledge of statistical model building and information extraction.

Nice-to-haves

  • Experience with NLP technologies.
  • Experience with machine learning.
  • Familiarity with cloud services providers (AWS, Azure, Google Cloud Platform).
  • Knowledge of web service technologies such as SOAP and WSDL.
  • Experience with relational databases like DB2, Oracle, MySQL.
  • Familiarity with Hadoop, Spark, and related technologies.
  • Experience with XML processing.
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