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Senior ML Engineer

Planet4iT Professional Services

We are building a small, high-impact team to support advanced analytics and machine learning initiatives for a leading healthcare technology management company. This team will focus on predictive modeling, cost optimization, and ROI analysis for clinical asset management and capital planning.

Key Responsibilities

  • Develop and deploy statistical and machine learning models for predictive maintenance, resource optimization, and operational efficiency.
  • Perform econometric and financial analysis to support capital planning and cost-benefit decisions.
  • Design and implement data pipelines for large-scale healthcare datasets (EHR, claims, RTLS, device telemetry).
  • Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights into actionable strategies.
  • Ensure compliance with HIPAA and healthcare data governance standards.
Required Qualifications
  • Master's or Ph.D. in Statistics, Economics, Data Science , or related field.
  • 3+ years of experience in ML model development and deployment .
  • Strong foundation in statistical inference, econometrics, and causal analysis (e.g., regression, Bayesian methods, DiD).
  • Proficiency in Python, SQL , and ML frameworks (Scikit-Learn, XGBoost, TensorFlow).
  • Excellent communication skills for presenting insights to technical and business stakeholders.
Preferred Skills
  • Experience with healthcare data (EHR, claims, RTLS).
  • Familiarity with capital planning and ROI modeling .
  • Knowledge of cloud platforms (AWS, Azure) and containerized deployments.
Vacancy posted 4 days ago
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