Machine Learning Engineer

Found in: Appcast Linkedin GBL C2 - 2 weeks ago

Zionsville, United States Insight Global Full time

Job Description:

Insight Global is partnered with our Fortune 500 client in hiring for a Machine Learning Engineer to support their team in Zionsville, IN. This position will be focused on MLOps, as our team is looking to deploy their 20 machine learning models into production. Prior hands-on experience leading MLOps is a must-have requirement for the position. If you feel solid with that skillset, we would love to have you join the team


Required Qualifications

  • Strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization
  • Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)
  • Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
  • Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)
  • Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
  • Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
  • Strong critical thinking and problem-solving skills, flexibility, and willingness to learn

Preferred Qualifications:

  • Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture
  • Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction
  • Familiarity with artificial intelligence or generative AI techniques
  • Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL)
  • Experience with AWS
  • Experience consulting on scientific projects or working within a scientific team

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