Senior AI / ML Engineer - (Only W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer in Phoenix, offering a long-term contract at $44.65 - $53.78 per hour. Requires 16+ years of experience, proficiency in TensorFlow, Python, and OpenCV, and expertise in managing big datasets.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
424
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πŸ—“οΈ - Date discovered
August 22, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Phoenix, AZ 85004
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🧠 - Skills detailed
#Data Quality #Keras #AI (Artificial Intelligence) #Libraries #Deep Learning #Linux #Big Data #Data Cleaning #Pandas #TensorFlow #ML (Machine Learning) #Datasets #OpenCV (Open Source Computer Vision Library) #Python
Role description
Job Title: AI / ML Engineer - (Only W2) Location: Phoenix Onsite Experience: 16 + Years. Preferred: (W2 / 1099) Duration: Long Term Job Description: We are looking for an expert in AI / Machine Learning Engineer. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Skills: Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency Job Type: Contract Schedule: 8 hour shift Monday to Friday Work Location: In person Job Type: Contract Pay: $44.65 - $53.78 per hour Work Location: In person