Machine Learning Engineer

New Yesterday

AI Machine Learning Engineer We are searching for software engineers with knowledge of Machine Learning. 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. We are seeking engineers with 2-5 years of experience. This is a contract to hire position. This role is permanent and we are seeking candidates who want to be part of a company long term. 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 2-4 years of experience Knowledge or experience with Python, R, SQL and C++ Experience debugging or troubeshooting C++ code is a huge plus 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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Location:
San Diego, CA, United States
Salary:
$200,000 - $250,000
Category:
Engineering