Ai Engineer
7 days ago
**WHAT WE DO**
At Sun Asterisk, we are dedicated to developing cutting-edge AI-driven solutions that solve real-world challenges and create lasting impact.
As an AI Engineer, you will:
- Collaborate with data scientists to productionize ML models — from preprocessing and training to optimization and deployment
- Build and maintain end-to-end AI pipelines, integrating with cloud platforms (AWS, Azure, GCP) and CI/CD workflows
- Implement best practices for monitoring, retraining, and model evaluation in production
- Optimize AI systems for latency, throughput, and resource efficiency in real-world scenarios
**WHO YOU ARE**
**#Mandatory Skills**
- At least 2 years of experience as an AI Engineer or in a similar role, with hands-on experience deploying AI solutions to production
- Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Proficient in Python, R, or Java, and familiar with software engineering best practices
- Experience building production-grade AI/ML pipelines (deployment, monitoring, maintenance)
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
- Good understanding of MLOps practices, including CI/CD for ML, model versioning, and automated retraining
**#Desired Skills**
- Experience with big data tools (Hadoop, Spark) or data processing frameworks
- Understanding of distributed systems and real-time data processing
- Strong communication and collaboration skills in an agile environment.
**#Skill requirements**
- Excellent English communication skills
- Outstanding teamwork abilities
- Proven ability to prioritize and allocate work
- Sharp critical thinking and logical reasoning
- Effective problem-solving skills
**#Attitude Requirements**
- Customer-centric mindset
- Adaptability to change
- Commitment to continuous learning and growth
**BENEFITS AND PERKS**
**Professional, open-minded, and creative environment**:
- Work with colleagues who embrace ideas to change the society.
- Respect different perspectives within a team
- Strong learning culture that promotes individual development
- The culture of taking risks to experience and thrive
**Focus on individual development**:
- Be consulted, accompanied, and supported in career development with the career path system (developing in expertise or management direction) that has been studied and tested for many years.
- Be oriented for individual, group, and organizational goals
- Be empowered
- Be supported to define a 3-month or 6-month goal (Goal Define Support)
- Get access to company Learning Hub online library with various courses provided by Udemy, LinkedIn,
**Special care for employees**:
- Salary: Negotiable + competitive allowance (lunch, living allowance, beauty care, Japanese and IT certificates, etc.)
- 13th-month salary bonus
- Performance review: Twice/a year
- Hybrid working policy; flexible check-in, check-out
- Comprehensive health insurance Sun* Care
- Seniority Allowance
- Women care allowance: Women’s physiological leave: 2.5 hours/month; Postpartum leave for female employees with under 1-year-old children: 1 hour/day
- Policies supporting learning activities, knowledge sharing, and cultural exchange (Technology Seminar - Tech Expert, Club: Reading, Japanese, Music Club,)
- Annual company trip and quarterly team-building activities.
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