Machine Learning Engineer-AI Job at BrightHire Search Partners Inc., San Diego, CA

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  • BrightHire Search Partners Inc.
  • San Diego, CA

Job Description

AI Machine Learning Engineer

We are searching for software engineers with knowledge of AI/ML. You will be involved in working on a team who is responsible for utilizing plasma and optics to impact a major manufacturing component that builds hundreds of thousands of widgets an hour.

This is an entry level position where you will be at the forefront of designing and developing cutting edge GenAI applications.

Responsibilities:

  • Work closely with data engineers and business stakeholders to communicate AI recommendations to senior management.
  • Design, build and deploy state-of-the-art AI/ML models to solve complex problems.
  • Understand key performance metrics to highlight AI/ML solution operational issues and drive improvement.
  • Work with cross functional teams of engineers and infrastructure partners to implement solutions.
  • Research and present ideas to improve the teams technical capabilities.

Qualifications:

  • BS or MS Degree in computer science, data analytics, data science or related field
  • 0-2 years of experience (Entry level position)
  • Knowledge or experience with C++, Python, Shell, SQL or R
  • Must have experience with one or more of the following below:
  • Experience or academic knowledge with Natural Language Processing (NLP), Computer Vision, Neural Networks, Machine Learning
  • Experience or Knowledge with PyCharm, RStudio, Jupyter /Notebook, Google Collab, Navicat.
  • Knowledge of ML frameworks: Scikit-learn, Keras, TensorFlow, PyTorch, OpenAI, LangChain.
  • Knowledge of Pandas, NumPy, SciPy or Spar,
  • Knowledge or experience with MySQL, PostgreSQL, MongoDB or SQLite
  • Experience or knowledge of AWS, Azure, GCP
  • Knowledge or experience with Git
  • Knowledge with NLP libraries like NLTK, SpaCy, GPT-3, BERT
  • Knowledge or experience with data acquisition
  • Excellent interpersonal skills as you will be working with a cross-functional team.

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