Senior AI ML Engineer

Company Description Ray Business Technologies is a CMMI Level 3 and ISO 27001:2022 certified IT services and solutions company with over 16 years of experience in the global technology landscape. The organization operates across the USA, Canada, Australia, the Philippines, and India, delivering tailored solutions for diverse business needs. Its multidisciplinary teams of programmers, designers, testers, and architects specialize in AI, SAP, Microsoft Dynamics 365, Microsoft Fabric, Power BI, CMS platforms, Boomi, and custom development. Ray Business Technologies focuses on improving efficiency, reducing complexity, and driving growth for enterprises through high-quality, innovative technology solutions.

Role Description The Senior AI ML Engineer will design, develop, and deploy advanced machine learning and artificial intelligence solutions, including generative AI, NLP, RPA, and data analytics models that support enterprise applications and platforms. Day-to-day responsibilities include researching and prototyping new algorithms, building and optimizing ML pipelines, performing data preprocessing and feature engineering, and integrating models into production systems in collaboration with software engineering and architecture teams. The role also involves evaluating model performance, conducting experimentation, implementing MLOps best practices, and documenting technical approaches and outcomes. This is a full-time, on-site role based in Hyderabad, requiring close collaboration with cross-functional stakeholders to deliver scalable, secure, and reliable AI solutions aligned with business .

We’re building AI systems that convert unstructured visual data into structured, usable outputs that power real-world workflows.

This role focuses on solving messy, high-variability problems and delivering reliable systems in production, not just training models in isolation.

What You’ll Do

• Build and improve end-to-end AI/ML pipelines (input ? preprocessing ? inference ? structured output)
• Work with noisy, inconsistent datasets and drive improvements in data quality and model performance
• Develop preprocessing pipelines (e.g., normalization, transformations, input standardization)
• Run experiments, tune models, and evaluate trade-offs across accuracy, latency, and cost
• Collaborate with engineering teams to productionize models (APIs, batch/real-time systems)

What We’re Looking For

• ~4 years of hands-on experience in ML/AI with exposure to computer vision

• Strong Python

  skills with production-quality coding practices

• Solid understanding of microservices

  and system design.

• Experience building and deploying ML systems beyond experimentation
• Experience working on systems that extract or process information from complex visual inputs (e.g., documents, forms, or similar structured outputs)
• Strong understanding of neural network architectures (e.g., CNNs, Transformers, sequence models) and their real-world trade-offs.
• Ability to:
• Select appropriate approaches based on problem constraints

• Fine-tune and optimize models

  for performance and reliability

• Debug model behavior and failure cases in production
• Strong understanding of evaluation metrics, error analysis, and model limitations

Good to Have

• Experience with cloud environments (e.g., Azure or similar)
• Familiarity with scalable data pipelines, containerization, or distributed systems
• Exposure to multi-modal systems (vision + text)

What We Don’t Want

• Only academic or demo project experience
• Over-reliance on plug-and-play APIs without understanding internals
• Inability to explain past work end-to-end (data ? model ? output ? impact)
• Profiles focused only on generic image classification or object detection use cases without real-world deployment experience

Interested candidates can share their resume to [email protected]