Senior AI/ML Engineer

1 month ago

Morrisville, United States Lenovo Full time

Description and Requirements

At Lenovo, we Never Stand Still. Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way.

Do you have a passion for data and machine learning that powers cutting-edge AI? Are you a results-oriented engineer who thrives in a collaborative environment and enjoys technical leadership? If so, we want to hear from you We’re looking for a Senior AI/ML Engineer to work with the AI platform team within our Cloud and Software (CSW) Group at Lenovo.

About the role

In this role you will work directly with locally & globally distributed teams responsible for defining, designing, and building robust data products and AI capabilities for Lenovo CSW’s core platform in a cloud-based SaaS environment. You’ll be part of a highly dynamic software development team working on initiatives with a goal to transform and enhance the overall business value of our products and platforms. 

You will be responsible for building predictive insights, recommendations, forecasting capabilities for AI platform using AI/ML algorithms, frameworks, and libraries. You will apply your knowledge of ML modeling, pipelines, feature engineering, data processing, cloud expertise, supporting tools and technologies to develop new AI/ML solutions. As a Senior AI/ML Engineer on this team, you will play a key role in developing, deploying, and optimizing existing AI and ML solutions for the platform.

This is a great opportunity if you are:

passionate about machine learning have a strong sense of responsibility and ownership. resourceful in face of ambiguity and thrive on change. an independent thinker who can solve complex problems and help others solve them. an excellent collaborator and with solid communication skills, demonstrated by successful cross team collaboration. able to tackle and help breakdown large ML projects.

Responsibilities:

In this role, you will work with the 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. Defining the technical vision and roadmap for the ML team. Mentoring junior engineers and helping grow their technical skills. Staying up to date with the latest advancements in ML space and identifying opportunities to leverage them. Evaluating and implementing new tools and technologies to improve the team's efficiency. Optimizing ML pipelines and models to improve quality and reduce computational time, cost Working 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. Collaborating with a multidisciplinary, globally distributed team of professionals that can include Data Scientists, Data Engineers, Business Analysts, Project and Product Management Delegating tasks effectively and providing clear expectations for team members.

Minimum Qualifications:

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 help grow their technical skills

Preferred Qualifications:

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 Experience with tools like Docker and orchestration platforms such as Kubernetes. Experience related to NLP, LLMs and GenAI applications is a plus. #LI-DB1

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