Advisory AI Software Engineer
Lenovo Vehicle Computing · North Carolina, United States · Yesterday
Engineering$83/hrFull-time
About the role
Join Lenovo as an Advisory AI Software Engineer. As part of our team, you will contribute to the development and deployment of AI solutions that enhance customer experiences.
Responsibilities
- Design, develop, and maintain AI models and systems using cutting-edge technologies.
- Collaborate with cross-functional teams including data scientists, product managers, and engineers to understand business needs and translate them into technical solutions.
- Ensure the quality and reliability of AI systems through rigorous testing and validation processes.
- Stay updated with the latest advancements in AI and machine learning, and apply these insights to improve existing systems.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- At least 5 years of experience in software engineering or a related field.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of algorithms, data structures, and computer architecture.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Proven track record of delivering high-quality software products.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of database management systems and SQL.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Proficiency in Python, Java, or C++.
- Experience with deep learning libraries such as Keras or MXNet.
- Understanding of natural language processing (NLP) techniques.
- Experience with distributed systems and microservices architecture.
- Competitive salary and benefits package.
- Flexible working hours and remote work options.
- Professional development opportunities and access to cutting-edge technology.
- Work-life balance with generous vacation time.
Qualifications
Skills
Benefits
Pay
Commensurate with experience.
Schedule
Full-time.