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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 Group at Lenovo. As a key member of our team, you will be responsible for designing, building, and deploying robust data products and AI capabilities for our core platform in a cloud-based SaaS environment.
Key Responsibilities- Work with user, device, and services data to prepare it for training, testing, and scoring with ML models and to power LLM applications.
- The data you shape will be used to power AI capabilities of the core platform that enables various cloud solutions of the company.
- Define the technical vision and roadmap for the ML team.
- Mentor junior engineers and help grow their technical skills.
- Optimize ML pipelines and models to improve quality and reduce computational time and cost.
- Work with business partners to understand business and product objectives, identify and define the right ML problems that need to be solved, translating them into technical requirements and breaking them down into manageable tasks.
- Collaborate with a multidisciplinary, globally distributed team of professionals that can include Data Scientists, Data Engineers, Business Analysts, Project and Product Management.
- 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.
- Building and deploying ML models (such as neural networks) 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 such as regression, classification, forecasting, anomaly detection, etc.
- Experience mentoring junior engineers and helping grow their technical skills.
- Experience building end-to-end scalable ML pipelines on-premise and/or in cloud platforms such as AWS (preferred).
- Advanced SQL skills for data exploration (such as window functions).
- Familiarity with version control systems, CI/CD practices, testing.
