Senior AI/ML Solutions Engineer
General Information
Req #
WD00071014
Career area:
Software Engineering
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Wednesday, September 4, 2024
Working time:
Full-time
Additional Locations:
United States of America - North Carolina - Morrisville
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit *** , and read about the latest news via our StoryHub (***/) .
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 building applications that leverage the power of generative AI to create entirely new forms of interactions? Are you a results-oriented engineer who thrives in a collaborative environment and enjoys identifying problems and delivering solutions for them using cutting-edge technologies? If so, we want to hear from you!
We are building GenAI capabilities for Lenovo cloud software division's core platform that powers various cloud solutions. As a senior solutions engineer on this team, you will play a key role in evaluating existing solutions, identifying bottlenecks, proposing and developing improvements/solutions that can be built using AI platform.
This is a great opportunity if you are:
passionate about critical problem solving.
an independent thinker who can identify problems, solve as well as help others solve them.
have a strong sense of responsibility and ownership.
resourceful in face of ambiguity and thrive on change.
an excellent collaborator and with solid communication skills, demonstrated by successful cross team collaboration.
able to tackle and help breakdown large software AI related projects.
able to understand business needs and optimally translate them into clearly defined problems.
Responsibilities:
In this role, you will design and develop software solutions (including but not limited to AI) that meet internal, external client requirements and align with business objectives.
Evaluate existing solutions, identifying bottlenecks for internal clients, and propose improvements/solutions that can be developed using AI platform.
Build prototypes using existing platform capabilities as well as propose extensions to demonstrate the feasibility of the proposed solution.
Explore, select and implement solutions using appropriate technologies and tools to solve problems and drive innovation.
Explain complex technical concepts and solutions to both technical and non-technical stakeholders.
Provide technical guidance and mentorship to junior engineers.
Promote a culture of knowledge sharing and continuous learning.
Help define the technical vision and roadmap for the AI solutions team.
Staying up to date with the latest advancements in AI/ML space and identifying opportunities to leverage them. Evaluating and implementing new tools and technologies to improve the team's efficiency.
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:
Master's degree (or Bachelor's degree with relevant experience) in Computer Science, Information Systems, Engineering, Math or related technical field.
Experience working on Data and/or AI/ML powered software systems through various phases such as prototype, implementation and deployment to production.
Significant experience (10+ years) building production grade engineering solutions.
Hands-on experience (5+ years) in architecting and implementing AI/ML solutions using frameworks/libraries such as MLlib, Tensorflow, PyTorch, scikit-learn etc.
Proficiency in programming languages such as Python and Java.
Experience in developing ML solutions in public cloud(s) such as AWS, Azure and containerization of technologies like Docker, Kubernetes
Experience mentoring junior engineers and help grow their technical skills
Experience collaborating with data engineers, machine learning engineers, data scientists, and communicating with stakeholders.
Familiarity with version control systems, CI/CD practices, testing
Excellent communication and collaboration skills, demonstrated by ability to interact effectively with technical and non-technical stakeholders.
Preferred Qualifications:
Solid understanding of software architecture principles, including microservices, event-driven architecture, and distributed processing
Strong problem solving and analytical abilities with proven track record of translating business requirements into efficient data, AI/ML solutions.
Experience building and/or maintaining SDK for suite of APIs.
Experience working with front end engineers to integrate solutions with web application.
Experience working on a wide range of projects (such as NLP, LLM, search related) and in variety of application domains.
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We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
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