Deskripsi Pekerjaan
Are you a passionate AI/ML professional looking to make a tangible impact in the manufacturing industry? Mindteck is seeking a skilled AI / ML Engineer to join our innovative team in Woodlands. In this role, you will be at the forefront of digital transformation, leveraging advanced machine learning algorithms to optimize manufacturing processes, enhance predictive maintenance, and drive operational efficiency.
As an AI/ML Engineer, you will work closely with cross-functional teams to design, develop, and deploy scalable machine learning models. You will be responsible for the full lifecycle of AI projectsāfrom data collection and preprocessing to model training and production deployment. This is a unique opportunity to apply your technical expertise to real-world industrial challenges and contribute to cutting-edge solutions in the manufacturing domain.
We are looking for a proactive problem solver who thrives in a collaborative environment. If you are eager to push the boundaries of automation and intelligence in a fast-paced industrial setting, we invite you to apply and help us shape the future of manufacturing technology.
Tanggung Jawab
- Design, build, and deploy machine learning models to solve complex manufacturing challenges.
- Collaborate with data engineers to build robust data pipelines for model training and inference.
- Analyze large-scale industrial datasets to identify trends, patterns, and opportunities for process optimization.
- Implement predictive maintenance solutions to minimize equipment downtime and improve reliability.
- Conduct A/B testing and model evaluation to ensure performance and scalability.
- Develop automated reporting dashboards to present actionable insights to stakeholders.
- Stay up-to-date with the latest advancements in AI/ML research and apply them to industrial use cases.
Kualifikasi
- Bachelorās or Masterās degree in Computer Science, Data Science, Engineering, or a related technical field.
- Minimum 2-3 years of experience in developing and deploying machine learning solutions.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of data structures, algorithms, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, or GCP) for model deployment.
- Familiarity with manufacturing execution systems (MES) or industrial IoT (IIoT) data is a significant advantage.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical team members.