ArcheHealth

Machine Learning Engineer

ArcheHealth

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Develop and deploy machine learning models, algorithms, and solutions to solve complex business problems.
  • Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization.
  • Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions.
  • Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models.
  • Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy.
  • Stay updated on the latest trends in machine learning, AI technologies, and incorporating innovative approaches into our projects.
  • Conduct thorough model evaluation, testing, and validation to ensure the robustness and effectiveness of the solutions.
  • Document and communicate technical concepts, methodologies, and findings to stakeholders and team members.

Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
  • 3 to 5 years of experience in machine learning, deep learning, and artificial intelligence roles, with a proven track record of developing and deploying machine learning models.
  • Strong programming skills in Python, R, C, C++, SQL, or Java, with experience using machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch.
  • Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.
  • Experience with big data technologies like Apache Kafka, Spark, and cloud computing platforms.
  • Excellent problem-solving skills, analytical thinking, and attention to detail.
  • Strong communication and collaboration skills to work effectively in a team environment.
Benefits
  • Competitive salary and benefits package for FTEs
  • Opportunities for professional growth and development
  • Collaborative and innovative work environment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningartificial intelligencedata preprocessingfeature engineeringmodel evaluationmodel optimizationprogramming in Pythonprogramming in Rprogramming in SQL
Soft Skills
problem-solvinganalytical thinkingattention to detailcommunicationcollaboration