Brillius Technologies
Website:
brillius.com
Job details:
Company Description Brillius Technologies specializes in global contingent workforce solutions, connecting organizations with top tech talent and tailored services for a fast-evolving, tech-driven world. The company’s domain expertise includes Quantum Computing, Edge Computing, Generative AI, Building Information Modeling (BIM), and Green Tech, enabling innovative, future-focused support for clients. Brillius Technologies focuses on building long-term partnerships and aligning workforce solutions with business objectives to drive growth, efficiency, and faster time-to-market. The team supports both startups and large enterprises with strategic guidance and scalable talent solutions, helping them move from concept to market-ready products and expand their capabilities. With a strong track record of delivering exceptional talent and integrating seamlessly with client teams, Brillius Technologies empowers organizations to stay ahead in a rapidly changing technology landscape.
Role Description This is a full-time, on-site AI Engineer role based in Hyderabad. The AI Engineer will design, build, and optimize machine learning and deep learning models that support client solutions across domains such as Generative AI and data-driven applications. Daily responsibilities include analyzing complex datasets, experimenting with algorithms for pattern recognition and neural networks, and implementing production-ready AI pipelines in collaboration with software development teams. The role involves working closely with cross-functional stakeholders to understand business requirements, translating them into technical specifications, and delivering reliable, scalable AI solutions. The AI Engineer will also review and improve existing models, document technical decisions, and contribute to best practices and innovation within the engineering team.
Qualifications
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and coding best practices.
- Hands-on experience with Pattern Recognition and Neural Networks for building and optimizing machine learning and deep learning models.
- Practical expertise in Natural Language Processing (NLP), including model training, evaluation, and deployment for real-world applications.
- Proficiency in programming languages commonly used in AI (such as Python), and familiarity with ML/DL frameworks (for example, TensorFlow or PyTorch).
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
- Ability to work collaboratively in on-site, cross-functional teams, communicate complex technical ideas clearly, and deliver solutions within agreed timelines.
- Experience with cloud platforms, MLOps practices, and scalable AI architectures is highly beneficial.
- Demonstrated curiosity, problem-solving skills, and a commitment to continuous learning in emerging AI and computing technologies.
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