Quest Global: AI / ML Full Stack Developer

Join Quest Global as an AI / ML Full Stack Developer tackling intricate engineering challenges and architecting intelligent, high-throughput digital platforms across mission-critical industries. In this cross-functional engineering role, you will integrate advanced machine learning models, neural networks, and generative AI capabilities with resilient cloud-native web architectures. You will write high-quality software, optimize algorithmic pipelines, and solve complex real-world problems alongside multidisciplinary technology teams.

You will collaborate closely with system architects, data scientists, and cross-functional engineering pods to design robust backend services, dynamic user interfaces, and automated continuous delivery pipelines. Your work will directly accelerate digital transformation initiatives across global engineering domains, ensuring enterprise reliability, low latency, and uncompromising code excellence.

Roles & Responsibilities:
• Design, implement, test, and maintain full-stack web applications and microservices integrating advanced AI/ML algorithms and intelligent workflows.
• Write clean, modular, scalable, and maintainable production code in Python and modern frontend frameworks while adhering to software engineering best practices.
• Develop and optimize real-time machine learning pipelines, deep learning models (CNNs, LSTMs), and predictive analytics systems to process complex domain datasets.
• Architect low-latency RESTful APIs and asynchronous data pipelines to seamlessly connect frontend interfaces with backend AI evaluation engines.
• Partner with multidisciplinary squads and domain engineers to translate intricate technical specifications into dependable software architectures.
• Implement automated unit, component, and integration testing suites to guarantee comprehensive test coverage, stability, and zero regressions.
• Profile system performance, optimize database queries, and debug computational bottlenecks across distributed application environments.
• Document architectural workflows, API endpoints, and system configurations to support continuous knowledge sharing and maintainability.

Requirements & Eligibility:
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or an equivalent technical field of study.
• Strong programming proficiency in Python with solid understanding of object-oriented design principles (knowledge of C++ is an advantage).
• Solid foundation in computer science principles, data structures, algorithms, and applied mathematics including statistics, linear algebra, and probability.
• Hands-on familiarity with scientific computing and machine learning libraries including NumPy, SciPy, Pandas, and scikit-learn.
• Practical understanding of core machine learning concepts, neural network architectures (including CNNs and LSTMs), and model training workflows.
• Familiarity with modern web architectures, API design principles, and relational database systems such as PostgreSQL or MySQL.
• Exposure to version control workflows using Git, automated continuous integration tools, and containerization platforms like Docker is desirable.
• Demonstrated analytical problem-solving abilities with the drive to learn emerging technologies including LLMs and generative AI tools.
• Strong verbal and written communication skills with the capability to collaborate effectively in fast-paced agile engineering teams.

Expected Salary:
The estimated compensation bracket for an AI / ML Full Stack Developer at Quest Global in Chennai typically ranges between ₹8,00,000 and ₹12,00,000 per annum, benchmarked against verified compensation data from Glassdoor, AmbitionBox, and PayScale. Total compensation packages also typically feature performance incentives, comprehensive healthcare insurance coverage, and professional development programs.