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AI/ML Solutions Engineer
About the Role
We are seeking a talented AI/ML Solutions Engineer to join our growing team. In this role, you will be responsible for designing, developing, and implementing AI/ML solutions that solve real-world business problems. You will work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation through AI technologies.
Key Responsibilities
- Design and develop end-to-end ML/AI solutions, from proof of concept to production deployment
- Build and optimize computer vision, natural language processing, and machine learning models
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Deploy and maintain ML models in production environments
- Develop and maintain data pipelines for model training and inference
- Conduct performance analysis and optimization of AI/ML systems
- Provide technical guidance and mentorship to junior team members
- Document technical specifications, architecture designs, and implementation details
- Stay current with latest AI/ML technologies and best practices
Required Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field
- Experience in developing AI/ML solutions
- Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch)
- Experience with computer vision libraries (OpenCV, YOLO) and deep learning architectures
- Knowledge of NLP technologies and Large Language Models
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with version control systems (Git) and CI/CD pipelines
- Strong problem-solving and analytical skills
Preferred Qualifications
- Experience with MLOps tools and practices
- Knowledge of containerization (Docker) and orchestration (Kubernetes)
- Experience with data preprocessing and feature engineering
- Understanding of RESTful APIs and microservices architecture
- Experience with agile development methodologies
- Strong communication skills and ability to explain complex technical concepts
- Previous experience in delivering AI solutions in production environments
Technical Skills
- Languages: Python, SQL
- ML Frameworks: TensorFlow, PyTorch, Keras
- Computer Vision: OpenCV, YOLO, CNN architectures
- NLP: BERT, Transformers, LLMs
- Cloud Platforms: AWS SageMaker, Azure ML, or Google AI Platform
- Development Tools: Git, Docker, Jupyter Notebooks
- Data Processing: Pandas, NumPy, SciPy
## Location
- Singapore (Hybrid working arrangement available)
## Employment Type
- Full-time