Jr Cloud Engineer

Brillius Technologies; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Brillius Technologies in Hyderabad is seeking an on-site AI Engineer to design, build, and optimize ML/DL models for client solutions spanning Generative AI and data-driven applications.

You will analyze datasets, experiment with neural networks, and implement production-ready AI pipelines in collaboration with software teams, translating business needs into technical specs.

Qualifications

• Strong CS foundation and software development practices.
• Hands-on pattern recognition and neural networks for ML/DL.
• Proficiency in NLP including model training, evaluation, deployment.
• Proficient in Python and ML/DL frameworks (TensorFlow, PyTorch).
• Bachelor’s or Master’s degree in CS/Engineering or related field.
• Ability to work on-site in cross-functional teams and deliver on time.
• Experience with cloud platforms, MLOps, and scalable AI architectures.
• Curiosity, problem-solving, and commitment to continuous learning.

Responsibilities

• Design, build, and optimize ML/DL models for client solutions.
• Analyze complex datasets and experiment with algorithms for patterns.
• Translate business requirements into technical specs and pipelines.
• Review and improve existing models; document key decisions.

Skills

CS fundamentals

Data structures

Algorithms

Coding practices

Pattern recognition

Neural networks

ML models

NLP

Python

ML frameworks

TensorFlow

PyTorch

On-site collaboration

Cloud platforms

MLOps

Curiosity

Problem solving

Continuous learning

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Python

TensorFlow

PyTorch

Job description

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.