Hybrid Senior ML/Gen AI Engineer

Posted last week

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About the role

  • Collaborate closely with ML Scientists to productize and scale ML models
  • Design, build, and own large-scale, distributed machine learning systems
  • Lead design discussions and architecture reviews
  • Mentor and coach junior engineers and peers
  • Develop and maintain reusable components, libraries, and tools
  • Proactively identify areas for improvement in model performance
  • Ensure scalability, observability, and fault-tolerance across all components
  • Promote engineering excellence
  • Partner with stakeholders across Data Engineering, Product, Marketing, and Platform teams

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 8+ years of experience in software/ML engineering
  • Strong programming skills in modern languages such as Python, Scala, or Java
  • Deep experience in building and maintaining production-grade ML pipelines
  • Expertise in MLOps practices
  • Experience with big data ecosystems (e.g., Spark, Hive, Databricks, Delta Lake)
  • Proficient in working with ML frameworks like TensorFlow, PyTorch, XGBoost
  • Experience working in cloud-based environments (AWS, GCP, or Azure)
  • Hands-on experience with orchestration tools like Flyte, Airflow, Kubeflow
  • Proficient in containerization and orchestration technologies like Docker and Kubernetes

Benefits

  • medical/dental/vision
  • paid time off
  • Employee Assistance Program
  • wellness & travel reimbursement
  • travel discounts
  • International Airlines Travel Agent (IATAN) membership

Job title

Senior ML/Gen AI Engineer

Job type

Experience level

Senior

Salary

$173,000 - $242,500 per year

Degree requirement

Bachelor's Degree

Location requirements

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