AI/Machine Learning Engineer Job in Aguila | Yulys
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Job Title: AI/Machine Learning Engineer

Company Name: Reach First
Job Industry: Computer Software
Job Type: Full time
WorkPlace Type: remote
Location: Aguila, Arizona, United States
Job Description:
Responsibilities:
  • Designing and developing AI and ML models: Developing and training machine learning models using Python and ML libraries like TensorFlow, PyTorch, and scikit-learn and working in Image processing.
  • Data Preprocessing: Preprocessing raw data such as cleaning, filtering, and normalizing data to be used in machine learning algorithms.
  • Algorithm Development: Developing algorithms for various Machine learning problems such as Classification, Regression, and Clustering.
  • Identifying and extracting relevant features from raw data that can be used in machine learning algorithms.
  • Testing and validating the performance of AI and ML models using statistical techniques and measures like cross-validation and confusion matrices.
  • Deploying and integrating AI and ML models into production environments and maintaining model accuracy.
  • Collaborating with data scientists, software developers, and business analysts to identify business problems and develop solutions that meet business requirements.
  • Staying up to date with industry developments: Keeping up-to-date with new machine learning and AI developments and technologies, attending conferences and seminars, and staying abreast of new techniques and algorithms.
  • Performing other tasks as per the requirements.
Requirements:
  • Proficiency in programming languages Python and knowledge of machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Good knowledge of machine learning algorithms such as supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning frameworks such as Keras, TensorFlow, and PyTorch.
  • Strong knowledge of mathematical and statistical concepts, including linear algebra, calculus, and probability.
  • Data analysis and data preprocessing: Experience with data analysis and data preprocessing tools such as Pandas, Numpy, and SciPy.
  • Ability to identify and solve complex problems using AI and ML techniques.
  • Ability to work collaboratively with cross-functional teams and effectively communicate technical concepts to non-technical stakeholders

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