Generative AI Engineer

Job Title

Generative AI Engineer

Job Description

We’re looking for a generative AI engineer to join our AI team in Shanghai.

Working for Signify means being creative and adaptive. Our culture of continuous learning and commitment to diversity and inclusion creates an environment that allows you to build your skills and career. Together, we’re transforming our industry.

As the world leader in lighting, we’re constantly ahead of the curve. Through our leadership in connected lighting and the Internet of Things, we’re breaking new grounds in data analytics, AI, and smart homes, offices, cities and more!

Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.

We’re on the lookout for forward-thinking innovators with a passion for sustainability. If you match this description, get in touch!

What you’ll do

· Designing, developing, and implementing generative AI applications and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

· Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

· Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.

· Optimizing existing generative AI models for improved performance, scalability, and efficiency.

· Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

· Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

· Contributing to the establishment of best practices and standards for generative AI development within the organization.

· Providing technical mentorship and guidance to junior team members.

Your qualifications

· A degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required, with a Ph.D. being highly desirable.

· Strong communication skills in English are essential, enabling you to effectively convey complex technical concepts to diverse audiences.

· Demonstrated experience in developing and implementing generative AI applications, coupled with a deep understanding of advanced techniques such as GPT, VAE, and GANs, is required.

· Proficiency in Python and hands-on experience with machine learning libraries and frameworks like TensorFlow, PyTorch is expected.

· Strong knowledge of data structures, algorithms, and software engineering principles is necessary.

· Familiarity with cloud-based platforms and services such as AWS, GCP, or Azure is preferred.

· Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is advantageous.

· Knowledge of software development methodologies, including Agile or Scrum, is a plus.

· Excellent problem-solving skills, combined with the ability to think critically and creatively to develop innovative AI solutions, are required.

· A proactive mindset, enabling you to work both independently and collaboratively in a fast-paced, dynamic environment, is essential.

Our candidate profile is just a guide. We know that many talented people only apply for jobs when there is an exact match. If you don't fit all the criteria but believe this role is for you, we would very much like to hear from you.

What you’ll get in return…

We’re offering multiple opportunities for career development, like mentoring, coaching and stretch assignments, with strong international exposure for dynamic profiles. Learning is fundamental to our culture. Through continuous learning, we are transforming the industry. You have the chance to learn every day, acquire new skills and perspectives through customized online programs, and on-the-job experiences.

See #SignifyLife through the eyes of our employees!