Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
About the Client
Our client is a global AI consulting and engineering firm specializing in helping enterprises design, build, and deploy practical AI solutions. The company partners with leading organizations to transform operations through intelligent automation, data-driven decision-making, and scalable AI infrastructure. With a distributed, world-class engineering team and deep expertise in applied machine learning, they are recognized for turning complex business challenges into measurable impact.
About the Role
We are seeking a Junior AI Engineer / Data Scientist to support the development and deployment of AI systems for enterprise and R&D applications. You’ll focus on experimentation, data processing, and model performance optimization while working closely with the Singapore-based AI Lead. This is an excellent opportunity for an early-career professional looking to grow into a lead role in a high-impact, fast-paced environment.
Key Responsibilities
- Assist in developing, training, and deploying AI/ML models.
- Perform data preprocessing, feature engineering, and pipeline optimization.
- Conduct experiments to evaluate model performance and scalability.
- Collaborate with distributed teams to integrate AI solutions into production.
- Continuously improve models based on data-driven insights and user feedback.
Qualifications & Experience
- 1–3 years of experience in machine learning, Python, and data pipeline development.
- Exposure to cloud platforms such as AWS, GCP, or Azure.
- Ability to work independently and asynchronously within distributed teams.
- Strong communication skills and disciplined project execution.
- Bachelor’s degree in Computer Science, Data Science, or a related field.
Pro5 is a global platform helping thousands of vetted professionals get hired by top employers. See what others say on our public Google Reviews and learn how we keep your data safe in our Trust Center.
Key Skills
Ranked by relevanceReady to apply?
Join Pro5.ai and take your career to the next level!
Application takes less than 5 minutes