Data Engineer
Summary
Designs and deploys AI/ML models (CV, NLP, recommendations, synthetic AI) from concept to production, collaborating with stakeholders and cross-functional teams.
Job Role : - Data Engineer
Job Location : - Singapore
Experience : - 5+ years
Job Roles & Responsibilities:
Lead discussions with stakeholders to understand business challenges and translate them into AI/ML projects. Design and develop ML models (CV, NLP, Recommendation, Synthetic AI) for real-world applications. Manage the end-to-end product lifecycle
concept, design, prototyping, testing, deployment, and operationalisation. Perform technical assessments on AI research, technologies, and trends for industry adoption. Work with cross-functional teams (product owners, engineers, industry partners, research institutes) for collaborative delivery. Conduct model deployment on cloud, mobile, and IoT environments. Present findings, refine solutions based on feedback, and manage project timelines. Follow agile software development best practices, ensuring documentation, secure coding, and scalability. Transfer AI technologies to industry partners for adoption.
Job Skills & Requirements:
Postgraduate / Ph.D. in Engineering, Computer Science, Mathematics, or Statistics. Strong technical expertise in AI/ML with focus on Computer Vision, NLP, Recommendation Systems, Synthetic AI. Proficient in Python, C++, and deep learning frameworks (TensorFlow, PyTorch). Hands-on experience in building, training, and deploying ML models. Knowledge of AI deployment on mobile and IoT devices. Experience in stakeholder management and agile project management. Strong analytical, problem-solving, and communication skills.
Job Location : - Singapore
Experience : - 5+ years
Job Roles & Responsibilities:
Lead discussions with stakeholders to understand business challenges and translate them into AI/ML projects. Design and develop ML models (CV, NLP, Recommendation, Synthetic AI) for real-world applications. Manage the end-to-end product lifecycle
concept, design, prototyping, testing, deployment, and operationalisation. Perform technical assessments on AI research, technologies, and trends for industry adoption. Work with cross-functional teams (product owners, engineers, industry partners, research institutes) for collaborative delivery. Conduct model deployment on cloud, mobile, and IoT environments. Present findings, refine solutions based on feedback, and manage project timelines. Follow agile software development best practices, ensuring documentation, secure coding, and scalability. Transfer AI technologies to industry partners for adoption.
Job Skills & Requirements:
Postgraduate / Ph.D. in Engineering, Computer Science, Mathematics, or Statistics. Strong technical expertise in AI/ML with focus on Computer Vision, NLP, Recommendation Systems, Synthetic AI. Proficient in Python, C++, and deep learning frameworks (TensorFlow, PyTorch). Hands-on experience in building, training, and deploying ML models. Knowledge of AI deployment on mobile and IoT devices. Experience in stakeholder management and agile project management. Strong analytical, problem-solving, and communication skills.