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AI ML Engineer

Job in Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for: AppSierra
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
  • Design and implement machine learning algorithms and models to solve complex business problems.
  • Collaborate with cross-functional teams to understand data requirements and develop predictive models.
  • Conduct research to identify emerging trends and applications of AI and machine learning technologies.
  • Evaluate and improve model performance through rigorous testing and optimization techniques.
  • Develop and maintain scalable data pipelines and architectures for machine learning applications.
  • Deploy machine learning models into production environments and ensure their reliability and performance.
  • Document technical processes, model development approaches, and project outcomes for knowledge sharing and future reference.
Responsibilities
  • Design and implement machine learning algorithms and models to solve complex business problems.
  • Collaborate with cross-functional teams to understand data requirements and develop predictive models.
  • Conduct research to identify emerging trends and applications of AI and machine learning technologies.
  • Evaluate and improve model performance through rigorous testing and optimization techniques.
  • Develop and maintain scalable data pipelines and architectures for machine learning applications.
  • Deploy machine learning models into production environments and ensure their reliability and performance.
  • Document technical processes, model development approaches, and project outcomes for knowledge sharing and future reference.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Data Science, or a related field.
  • Proven experience working with machine learning frameworks such as Tensor Flow, PyTorch, or Scikit-learn.
  • Strong programming skills in languages such as Python, R, or Java, with a solid understanding of data structures and algorithms.
  • Experience with data manipulation and analysis using tools like SQL, Pandas, or Num Py.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
  • Knowledge of statistical methods and their application in model evaluation and validation.
  • Excellent problem-solving skills, with the ability to work independently and as part of a team.
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