AI ML Engineer
At a glance
Mid-level Machine Learning Engineering role at QIMA. Shenzhen · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Turn AI/ML prototypes into production systems by working with business leaders and data scientists on user needs
- Build and launch scalable models and algorithms for complex business problems
- Bring together data from different sources for AI model training and validation
- Connect AI/ML solutions with existing systems, then track and tune their performance
- Maintain clear, well-documented code and help users adopt deployed solutions through training and follow-up
What you bring
- A bachelor's or master's degree in computer science, software engineering, data science or a related area
- At least three years in software development, including some work with AI/ML frameworks
- Strong Python skills and experience with relevant data and machine-learning libraries
- Grounding in machine-learning methods, model evaluation, data preparation and feature engineering
Who this fits
This mid-level role suits someone focused on putting practical AI/ML into reliable production systems and working with technical and business teams. The position is onsite in Shenzhen. NLP, generative AI, computer vision and quality-related experience are optional strengths.
From the employer
About QIMA:
At QIMA, we are on a mission to offer our clients smart solutions to make products you can trust.
Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence.
We combine on-the-ground expertise with digital solutions that bring accuracy, transparency, and intelligence for quality and compliance data.
What sets us apart is our unique culture. Our 5,000 Qimers live and make decisions every day by our QIMA Values. With client passion, integrity, and a commitment to making things simple, we disrupted the Testing, Inspection, and Certification industry. Are you ready to hop on this exciting ride with us and help us achieve our mission?
The Job
In this role, you will transform proof-of-concept AI/ML projects into full-scale production applications. You will leverage your software development, data and foundational AI/ML knowledge to develop robust, scalable solutions that enhance our services and drive QIMA towards further excellence.
If you love working on the practical application of AI/ML, transforming innovative ideas into reliable systems, and collaborating with cross-functional and international teams, we invite you to be a key player in our team's success!
Key Responsibilities:
- AI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutions
- Full-Scale Model Deployment: Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
- Data Integration: Ensure efficient collection and integration of data from diverse sources for training and validation of AI models.
- System Integration: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes.
- Performance Optimization: Continuously monitor and optimize model performance to ensure responsiveness and scalability.
- Code Quality and Maintenance: Write clean, maintainable, and well-documented code, ensuring best practices in software development.
- Process Improvement: Leverage AI/ML to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness.
- Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting post-implementation follow-up to support users and address any issues.
The Candidate
Required Skills:
- Education and Experience: A bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field, with at least 3+ years of experience in software development, including some experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Programming Skills: Strong proficiency in Python and experience with relevant libraries (NumPy, Pandas, TensorFlow, PyTorch, Keras, etc.). Knowledge of additional languages like Java, C++, or SQL is a plus.
- AI/ML Fundamentals: Foundational understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and model evaluation techniques.
- Data Handling: Proficiency in data preprocessing and feature engineering.
- Cloud Platforms: Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
- Analytical Skills: Excellent analytical skills, with the ability to interpret complex datasets and derive actionable insights.
- Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
Preferred Skills (not mandatory):
- Natural Language Processing (NLP): Experience with NLP, generative AI and their applications.
- Computer Vision: Knowledge of computer vision techniques and applications.
- Quality Management: Experience in quality management, laboratory testing processes, supply chain management, or quality assurance.
Why You Should Join Us
- Competitive salary package with performance bonuses.
- A wealth of opportunities for professional development.
- A truly flexible and fully remote working environment.
- Exposure to cutting-edge technologies and digital transformation.
Please note that only shortlisted candidates will be contacted for the next steps within 15 days from the date of submission.