PT Trinovate Sigma Indonesia
AI Engineer
Skills
8 days ago
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Important information
Contract type:
Permanent
Location:
New York, NY, USA
Work mode:
Remote
Published on:
15 October 2026
What they need
We are seeking a skilled AI Engineer to design, develop, and implement artificial intelligence and machine learning solutions.
You will work with technical and business teams to build intelligent systems, optimize AI models, and support the integration of AI technologies into business applications.
Responsibilities:
- Develop, train, and deploy machine learning and AI models.
- Collect, preprocess, and analyze data for AI and machine learning applications.
- Design and implement AI solutions based on business and technical requirements.
- Evaluate model performance and optimize algorithms for accuracy and efficiency.
- Integrate AI models and services into existing software applications and systems.
- Collaborate with software engineers, data scientists, and other technical teams.
- Research emerging AI technologies and recommend improvements to existing solutions.
Requirements:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field preferred.
- Previous experience in AI engineering, machine learning, or software development is an advantage.
- Strong programming skills in Python and familiarity with relevant AI/ML frameworks.
- Understanding of machine learning algorithms, data structures, and model evaluation techniques.
- Familiarity with cloud platforms, APIs, databases, and deployment tools is a plus.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently, manage multiple projects, and adapt to rapidly evolving technologies.
Benefits:
- Competitive salary and performance-based bonuses.
- Supportive work environment with opportunities for technical growth.
- Access to AI training, certifications, and professional development programs.
- Exposure to innovative AI technologies and real-world projects.
- Work-life balance with flexible or hybrid scheduling options.
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