AI/ML Engineer

Hybrid in Arlington, TX, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Evaluation
  • Cloud Computing
  • Collaboration
  • Data Science
  • Database
  • Deep Learning
  • Communication
  • Generative Artificial Intelligence (AI)
  • Google Cloud Platform
  • Computer Science
  • Conflict Resolution
  • Natural Language Processing
  • Algorithms
  • Good Clinical Practice
  • Machine Learning (ML)
  • Amazon Web Services
  • Pandas
  • Problem Solving
  • PyTorch
  • Analytical Skill
  • Artificial Intelligence
  • Data Analysis
  • Microsoft Azure
  • NumPy
  • Python
  • TensorFlow
  • Testing
  • Training
  • Unstructured Data
  • scikit-learn

Summary

Job Description: AI/ML Engineer

Experience: 8+ Years
Location: USA
Employment Type: Contract

Job Responsibilities

  • Design, develop, and implement AI and Machine Learning solutions based on business requirements.

  • Build, train, test, and improve machine learning models using real-world data.

  • Use Python to develop AI/ML applications and automate tasks.

  • Work with data to identify patterns, generate insights, and improve model accuracy.

  • Develop solutions using Machine Learning, Deep Learning, NLP, and Generative AI.

  • Work with different teams to integrate AI/ML models into existing applications.

  • Monitor model performance and troubleshoot issues to ensure reliable results.

  • Analyze large datasets and use them to build predictive models.

Required Skills

  • Strong experience in Python programming.

  • Good knowledge of Machine Learning algorithms and concepts.

  • Experience in developing, training, and testing ML models.

  • Knowledge of libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

  • Understanding of data preprocessing, data analysis, and model evaluation.

  • Basic knowledge of Deep Learning, NLP, and Generative AI.

  • Experience working with databases and handling structured and unstructured data.

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, IT, Data Science, or a related field.

  • Strong analytical and problem-solving skills.

  • Ability to work independently and collaborate with technical teams.

  • Good communication skills and the ability to explain technical concepts clearly.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10477291
  • Position Id: 9124892
  • Posted 6 hours ago
Contact the job poster
Atul Shelke

Atul Shelke

Senior Technical Recruiter @ Raas Infotek LLC

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