Senior AI/ML Engineer

6 days ago


Morrisville, United States Lenovo Full time

About Lenovo

We're a company that never stands still, always seeking a better way. Our AI/ML team is looking for a talented engineer to join us in shaping the future of data and machine learning.

About the Role

In this role, you'll work with our AI platform team to develop and deploy robust data products and AI capabilities for our cloud-based SaaS environment. You'll be part of a dynamic software development team, working on initiatives to transform and enhance our products and platforms.

Your Responsibilities

  • Build predictive insights, recommendations, and forecasting capabilities for our AI platform using AI/ML algorithms, frameworks, and libraries.
  • Develop and deploy ML models, including neural networks, in production through their entire lifecycle - training, tuning, integrating in production systems, and monitoring/maintaining.
  • Collaborate with data engineers, data scientists, and stakeholders to understand business and product objectives, identify and define the right ML problems, and break them down into manageable tasks.
  • Mentor junior engineers and help grow their technical skills.
  • Stay up-to-date with the latest advancements in ML space and identify opportunities to leverage them, evaluating and implementing new tools and technologies to improve the team's efficiency.

Requirements

  • Bachelor's degree in computer science, information systems, engineering, math, or a related technical field.
  • 8+ years of relevant software development experience.
  • 5+ years of experience building production-grade machine learning-based applications/systems, programming skills in Python, and tools/libraries/frameworks such as Spark, Pandas, Scikit-learn, PyTorch, TensorFlow, Jupyter.
  • Experience collaborating with data engineers, data scientists, and communicating with stakeholders.
  • Experience working with various supervised and unsupervised machine learning models to solve common machine learning problems such as regression, classification, forecasting, anomaly detection, etc.

Preferred Qualifications

  • Experience building end-to-end scalable ML pipelines on-premise and/or in cloud platforms such as AWS.
  • Advanced SQL skills for data exploration.
  • Familiarity with version control systems, CI/CD practices, testing.
  • Experience with tools like Docker and orchestration platforms such as Kubernetes.

What We Offer

We offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package.


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