Contract Data Product AI/ML| Engineer 6 - 10 years of Exp

Company Description

Qzensys Solutions is a trusted professional services partner specializing in IT staffing, consulting, software development, and technology solutions across modern platforms and tools. The company helps businesses build agile, future-ready teams by providing specialized talent and expertise in cutting-edge technologies.

Qzensys

Solutions focuses on quality, reliability, and client success, supporting organizations in their digital transformation journeys. The team delivers end-to-end software development services across diverse technology stacks and platforms, enabling clients to stay competitive in a rapidly evolving technology landscape.

Interested folks reach me directly hidden_mobile.

Role Description The Contract: Data Product AI/ML Engineer role at Qzensys Solutions involves designing, building, and optimizing data products and AI/ML solutions that support business and client objectives. Day-to-day responsibilities include developing and maintaining data pipelines, preparing and transforming large datasets, training and evaluating machine learning models, and integrating AI/ML components into production systems.

The engineer will collaborate with product managers, data engineers, and other stakeholders to define requirements, improve model performance, and ensure solutions are scalable, secure, and reliable. Additional tasks include documenting workflows, monitoring deployed models, and contributing to best practices in data and ML engineering. This is a contract, on-site role based in Hyderabad.

Qualifications

AIML, Agentic AI, GCP, Copilot Studio, Power Automate, Data Product AI Engineer

About the Role

You will design, develop and deliver scalable and secure technology solutions aligned with enterprise architecture and business outcomes.

Key Responsibilities

Design and develop scalable applications

Translate business requirements into technical solutions

Define architecture patterns (microservices/APIs)

Collaborate with stakeholders

Ensure performance, scalability and security .