AI Engineering Consultant
Spectrum One
Remote
08.09.2025.
Spectrum One is Hiring
Hello! We’re Spectrum One. We’re on a mission to provide top-notch technical services to growing startups and multinational corporations worldwide. With your help, we aim to become the world’s leading strategic technology partner.
Since 2015, our support has helped clients raise $150M in funding, and our services are now present in different parts of the world. We owe this biggest milestone to the help of our employees, who make up the best team in town.
Highlights
8 years in the software development industry
Profitable; net revenue growth of 200% in 2021
Over $150M raised in funding by our clients
Work anywhere in the world with our permanent work-from-home setup
Why join Spectrum One?
As a shapeshifter in Spectrum One, you’ll get the opportunity to help grow the company's direction. We don’t micro-manage. We love hustlers who take ownership of their roles. But you’ll get guidance and plenty of support from each other from the team. You’ll be in an environment where learning is always encouraged to empower you to do your best.
- Competitive salary package
- Permanent work-from-home setup
- Monthly virtual social activities (movie nights, game nights, kapihan sessions, knowledge sharing, etc.)
- Annual company-wide face-to-face year-end celebrations
- Quarterly face-to-face chill-outs with your team
- Birthday treats, care packages, free vaccinations, etc.
About the Role
We’re looking for a highly skilled AI Engineering Consultant to support our clients in designing, building, and optimizing intelligent systems. This is a consultant/ad hoc opportunity where your expertise will guide strategic AI initiatives—whether it's building ML models, integrating AI tools, or advising on best practices.
Responsibilities:
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Collaborate with stakeholders to understand business challenges and identify AI opportunities
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Design and implement machine learning models or AI-based solutions tailored to client needs
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Optimize and fine-tune models for performance, scalability, and efficiency
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Guide AI/ML architecture, tools, frameworks, and best practices
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Assist with integrating AI solutions into existing platforms or systems.
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Stay updated with the latest in AI research, tools, and trends to bring innovative ideas forward
Qualifications:
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Proven experience in AI/ML development (e.g., NLP, computer vision, deep learning, etc.)
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Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, etc
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Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying AI solutions
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Strong analytical and problem-solving skills
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Excellent communication skills, especially in explaining technical concepts to non-technical stakeholders
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Consulting or client-facing experience is a strong plus
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