Software Expert (AI Developer) - M/BDO4-PU

Bosch; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Benefits offered by this job

Performance bonus

15-day annual leave

Life and accident insurance

Medical and dental coverage

Staff purchase privileges

5-day work week

Job summary

Bosch in Hong Kong is seeking an experienced AI/ML engineer to develop and implement AI solutions, algorithms, and NLP models.

You will collaborate with cross-functional teams to translate business requirements into technical solutions, design scalable AI applications, and deploy models into production while continuously advancing AI capabilities.

Qualifications

• Bachelor's or Master's degree in computer science, engineering, or related field.
• 5+ years of AI development experience with a focus on ML and NLP.
• Strong Python programming skills.
• Experience with TensorFlow, PyTorch, and NLTK.
• Knowledge of cloud platforms (AWS, Azure).
• Excellent communication and collaboration skills.
• Ability to adapt to changing priorities and deadlines.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Design and develop AI applications and systems meeting performance, scalability, and reliability requirements.
• Train, evaluate, and optimize ML models using various algorithms and techniques.
• Apply NLP techniques for text classification, sentiment analysis, entity recognition, and other NLP tasks.
• Collaborate with Data experts to integrate AI models into production systems.
• Stay up to date with the latest advancements in AI, ML, and NLP technologies.
• Participate in code reviews, testing, and debugging to ensure high-quality deliverables.
• Document code, algorithms, and processes to facilitate knowledge sharing and maintainability.

Education

Bachelor's or Master's degree in Computer Science or Engineering

Job description

Company Description

The Bosch Group is a leading global supplier of technology and services. It employs roughly 429,000 associates worldwide (as of December 31, 2023). The company generated sales revenue of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. Universal trends such as automation, electrification, digitalization, and connectivity, as well as an orientation to sustainability, are increasingly determining the group’s business operations. In this context, Bosch’s broad footprint as a global and diversified technology company strengthens its innovativeness and robustness.

Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture intelligent, user-friendly, and sustainable products.

With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral overall (scopes 1 and 2) since 2020. As part of this, residual emissions of 581,000 metric tons of CO2 were offset with carbon credits in 2023. Year on year, this is a decrease of roughly 136,000 metric tons of CO2, or 19 percent. 1

The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 90,000 associates in research and development, of which nearly 48,000 are software engineers.

Job Description

• Develop and implement Al solutions, algorithms, and models using Machine Learning and NLP techniques.


• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.


• Design and develop Al applications and systems that meet performance, scalability, and reliability requirements.


• Conduct data analysis, data preprocessing, and feature engineering to prepare data for Al models.


• Train, evaluate, and optimize Machine Learning models using various algorithms and techniques.


• Apply NLP techniques for text classification, sentiment analysis, entity recognition, and other NLP tasks.


• Collaborate with Data experts to integrate Al models into production systems.


• Stay up to date with the latest advancements in Al, Machine Learning, and NLP technologies.


• Participate in code reviews, testing, and debugging to ensure high-quality deliverables.


• Document code, algorithms, and processes to facilitate knowledge sharing and maintainability.

Qualifications

• Bachelor's or master's degree in computer science, Engineering, or a related field


• 5+ years of experience in Al development, with a focus on Machine Learning and NLP


• Good experience with relevant libraries/frameworks (e.g., TensorFlow, PyTorch, NLTK) with strong programming skills in Python.


• Solid understanding of Machine Learning algorithms, techniques, and frameworks.


• Experience with NLP tasks such as text classification, sentiment analysis, entity recognition, and language modeling.


• Proficiency in data analysis, data preprocessing, and feature engineering.


• Knowledge of cloud platforms (e.g., AWS, Azure) and their Al services.


• Strong problem-solving skills and ability to work on complex business problems.


• Excellent communication and collaboration skills to work effectively in a team environment.


• Ability to adapt to changing priorities and deliver high-quality results within tight deadlines.

Additional Information

• performance bonus


• 15-day annual leave


• life and accident insurance coverage


• generous medical and dental coverage


• staff purchase privileges


• 5-day work week

All personal data provided will be treated in strict confidence and used for recruitment purposes only.