Why This Role Stands Out
This hybrid AI Engineer role offers significant growth potential as you'll design and deploy innovative AI solutions for leading global brands, collaborating with talented teams in an inclusive and flexible environment. You'll thrive here if you're passionate about developing cutting-edge machine learning models and integrating them into impactful digital projects, so we encourage you to apply.
Quick Overview
Job Description
Aquent Talent is seeking an AI Engineer to design, build, and deploy innovative AI solutions for creative, marketing, and digital clients. In this role, you'll develop and optimize machine learning models, integrate AI services into platforms, and collaborate with cross-functional teams to solve complex business problems. You'll work in a people-first, inclusive, and flexible environment that values experimentation and continuous learning. This position offers the opportunity to shape the future of work, partner with leading global brands, and contribute to diverse, high-impact digital projects.
Responsibilities
- Design, build, and deploy AI and machine learning solutions for client-facing products and internal tools
- Develop, train, and optimize models for NLP, recommendation, and predictive analytics use cases
- Collaborate with product, data, and engineering teams to translate business problems into AI solutions
- Implement clean, scalable, and well-documented code using modern MLOps and CI/CD practices
- Evaluate model performance, conduct experiments, and iterate based on data-driven insights
- Integrate AI services and APIs into existing platforms and client solutions
- Ensure AI solutions meet security, privacy, and ethical AI guidelines
- Contribute to technical documentation, knowledge sharing, and mentoring of junior team members
Required Skills
- Python
- Machine learning
- Deep learning frameworks (Tensor
- Flow/Py
- Torch)
- NLP techniques
- Data preprocessing and feature engineering
- MLOps and CI/CDCloud platforms (AWS/Azure/GCP)
- API development and integration
- Model evaluation and monitoring
- SQL and No
- SQL databases
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