

Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with 2-5 years of experience, offering a contract-to-hire position. Key skills include Python, C++, and ML frameworks. A BS/MS in a related field is required. Location: "unknown"; pay rate: "unknown".
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
681.8181818182
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ποΈ - Date discovered
July 29, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Diego, CA
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π§ - Skills detailed
#Data Science #Langchain #Pandas #SciPy #AI (Artificial Intelligence) #Computer Science #PyTorch #MongoDB #NLP (Natural Language Processing) #ML (Machine Learning) #AWS (Amazon Web Services) #MySQL #Azure #NLTK (Natural Language Toolkit) #Python #R #Debugging #PostgreSQL #NumPy #C++ #Data Engineering #Libraries #GIT #Neural Networks #Keras #GCP (Google Cloud Platform) #SpaCy #TensorFlow #Jupyter #BERT #SQL (Structured Query Language)
Role description
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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:
β’ Work closely with data engineers and business stakeholders to communicate AI recommendations to senior management.
β’ Design, build and deploy state-of-the-art AI/ML models to solve complex problems.
β’ Understand key performance metrics to highlight AI/ML solution operational issues and drive improvement.
β’ Work with cross functional teams of engineers and infrastructure partners to implement solutions.
β’ Research and present ideas to improve the teams technical capabilities.
Qualifications:
β’ BS or MS Degree in computer science, data analytics, data science or related field
β’ 2-4 years of experience
β’ Knowledge or experience with Python, R, SQL and C++
β’ Experience debugging or troubeshooting C++ code is a huge plus
β’ Must have experience with one or more of the following below:
β’ Experience or academic knowledge with Natural Language Processing (NLP), Computer Vision, Neural Networks, Machine Learning
β’ Experience or Knowledge with PyCharm, RStudio, Jupyter /Notebook, Google Collab, Navicat.
β’ Knowledge of ML frameworks: Scikit-learn, Keras, TensorFlow, PyTorch, OpenAI, LangChain.
β’ Knowledge of Pandas, NumPy, SciPy or Spar,
β’ Knowledge or experience with MySQL, PostgreSQL, MongoDB or SQLite
β’ Experience or knowledge of AWS, Azure, GCP
β’ Knowledge or experience with Git
β’ Knowledge with NLP libraries like NLTK, SpaCy, GPT-3, BERT
β’ Knowledge or experience with data acquisition
β’ Excellent interpersonal skills as you will be working with a cross-functional team.