Responsibilities:
- Collaborate with team members both in Singapore and internationally to identify our clients' current challenges and explore how AI/machine learning can be leveraged to enhance their profitability. This may involve engaging with individuals from diverse fields, such as marketing, logistics, and more.
- Partner with the team and external organizations to create proofs-of-concept for proposed solutions, present these concepts to clients, and transform approved POCs into fully developed applications ready for production.
- Contribute to the ongoing enhancement of internal practices by working closely with the team.
Requirements:
- At least a bachelor’s degree in computer science, computer engineering or related field.
- Minimum 3 years of experience in machine learning system
- development.
- Possess Hands-on technical experience in at least two full cycles of AI/ML-based software projects that require high reliability and use large amounts of data (from initial requirements gathering to project completion/go live and maintenance.
- Working knowledge of AI/ML, particularly in one of the following areas: time series forecasting, computer vision, LLM, or routing optimization. This includes trade-offs related to system design, algorithm, and evaluation metrics.
- Good understanding of software engineering, including:
- Requirements gathering and documentation practices
- Architectural decisions and trade-offs, particularly in context of Python code and cloud services (GCP/AWS/Azure)
- Use of supporting tools such as Jira, Confluence, Git, and test automation tools CI/CD practices
- Best practices for development/deployment using cloud services.
- Proficiency in Python and libraries related to data processing and AI/ML.
- Proficiency in at leastone additional popular programming language (e.g., Java, R) is a big plus.
I regret to share that only shortlisted candidates will be notified.
www.dadaconsultants.com
EA Registration Number: R21100604
Data provided is for recruitment purposes only
Business Registration Number: 201735941W.
Licence Number: 18S9037
