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Morrisville, Canada Lenovo Full timeJob Title: Director of Engineering - AI/ML Ops, Cloud Operations and SRELenovo is a global technology leader, ranked #248 in the Fortune Global 500, serving millions of customers every day in 180 markets. We are committed to delivering Smarter Technology for All, with a focus on AI-enabled, AI-ready, and AI-optimized devices, infrastructure, software,...
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Senior AI/ML Engineer
2 months ago
We are seeking a highly skilled Senior AI/ML Engineer to join our Cloud and Software (CSW) Group at Lenovo. As a key member of our AI platform team, you will be responsible for building and deploying robust data products and AI capabilities for our core platform in a cloud-based SaaS environment.
Key Responsibilities- Design and develop predictive insights, recommendations, and forecasting capabilities for AI platform using AI/ML algorithms, frameworks, and libraries.
- Apply knowledge of ML modeling, pipelines, feature engineering, data processing, and cloud expertise to develop new AI/ML solutions.
- Play a key role in developing, deploying, and optimizing existing AI and ML solutions for the platform.
- Collaborate with data engineers, data scientists, and business stakeholders to understand business and product objectives and identify ML problems to be solved.
- Mentor junior engineers and help grow their technical skills.
- Bachelor's degree in computer science, information systems, engineering, math, or 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 building and deploying ML models in production through their entire lifecycle - training, tuning, integrating in production systems, and monitoring/maintaining.
- ML Engineering tooling: data acquisition, cleaning, preparation, feature engineering.
- 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.
- 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.
Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. We are focused on delivering smarter technology for all and building a more inclusive, trustworthy, and smarter future for everyone, everywhere.
