Design, develop, and implement AI models and algorithms tailored to industry-specific solutions. Collaborate with cross-functional teams to integrate AI solutions into real-world workflows. Expertise in Neural Networks and Natural Language Processing required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Company Description
Vantus ai, specialises in implementing AI solutions tailored to the specific workflows and commercial needs of construction and professional services firms. With expertise in construction cost management, contract administration and professional services, Vantus ai ensures that AI technologies are designed to meet industry-specific challenges.
Our team of experienced practitioners from fields like quantity surveying, project management, and legal services is dedicated to delivering measurable commercial outcomes.
Operating across the UK and Middle East, Vantus.ai focuses on practical AI adoption that transforms how work gets done.
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Role Description
AI Engineer | Full-time | On-site | Relocation support
USD 120,000 - 170,000 base salary (depending on experience, education and skill set)
The AI Engineer will design, develop and implement AI models and algorithms tailored to the company’s industry-specific solutions. Day-to-day tasks include building and training neural networks, developing natural language processing algorithms, implementing software applications and conducting pattern recognition analyses.
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The role also involves collaborating with cross-functional teams to integrate AI solutions into real-world workflows.
Qualifications
- Expertise in Neural Networks and Natural Language Processing (NLP)
- Strong skills in Computer Science and Software Development
- Proficiency in Pattern Recognition within AI frameworks
- Ability to deploy AI tools in real-world settings and optimize their performance
- Experience in construction, engineering, or professional services industries is a plus
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields
- Excellent problem-solving and analytical skills
- Strong collaboration and communication abilities within multidisciplinary teams
- Genuine interest in research, technology, and quantitative problem-solving
- Comfortable using and adapting open-source tools and prototypes
- Clear communicator who thrives in small, fast-moving teams
- Motivated by a high-intensity environment and ownership-driven work
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