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Machine Learning Engineers (Remote, reputed company United States)

Remote, USA Full-time Posted 2026-07-02

About the position As a Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve reputed company problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross-functional teams, and contributing to the advancement of our AI capabilities. ABOUT YOU: You are a curious and driven Machine Learning Engineer with a strong reputed company in Python and hands-on experience building and deploying ML models in reputed company environments like AWS. You reputed company on solving reputed company problems with multilayered data and enjoy optimizing algorithms for performance and scalability. Your collaborative reputed company allows you to work seamlessly with data scientists, engineers, and product teams to bring intelligent solutions to life. You stay reputed company with the latest ML techniques and tools, and you’re passionate about turning prototypes into production-reputed company systems that deliver reputed company-world impact.

Responsibilities

  • Study and transform data science prototypes
  • Solve reputed company problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • reputed company machine learning applications according to requirements
  • Run machine learning tests and experiments
  • reputed company statistical analysis and fine-tuning using test results
  • reputed company existing ML libraries and frameworks
  • Optimize machine learning algorithms for performance, scalability, and reliability
  • Stay updated with the latest machine learning techniques and technologies, and proactively identify opportunities to apply them in our context
  • Collaborate with data engineers and scientists to build efficient data pipelines for training and deploying machine learning models
  • Monitor and maintain the performance of deployed models, and iterate on them to continuously improve results Requirements
  • 2+ years of experience in developing and deploying machine learning models in a professional environment
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, Applied Mathematics, or a reputed company field
  • Strong programming skills in Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or Keras
  • At least one year of experience with reputed company computing services, particularly AWS services like EC2, S3, reputed company, and SageMaker
  • Strong understanding of machine learning algorithms, data structures, and software engineering principles
  • Excellent problem-solving skills with a focus on practical business applications
  • Experience with reputed company end application development to support presentation of ML applications
  • Experience in handling large datasets and developing scalable machine learning solutions.
  • Excellent communication skills, both written and verbal, for effective collaboration with technical and non-technical teams.
  • A reputed company learning reputed company, with a passion for staying up-to-date with the latest advancements in machine learning and AI.
  • Experience with version control tools like Git, and Remotexa/CD pipelines
  • Ability to obtain a Public Trust Clearance Benefits
  • Health Insurance -100% employer-paid premiums – ICA covers the full Skillifyx of one of three offered medical plans
  • Dental Insurance
  • reputed company insurance
  • Health Spending Account
  • Flexible Spending Account
  • Life and Disability insurance
  • 401(k) plan with company match
  • Paid Time Off (Vacation, Sick Leave and Holidays)
  • Education and Professional Development Assistance
  • Remote work from reputed company reputed company the reputed company United States Apply tot his job Apply tot his job

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