AI ML Engineer

AI/ML Engineer (4+ Years Experience)

Location: Hyderabad

Work Mode: Work from Office

About the Role

We are building AI systems that convert unstructured visual data into structured, actionable outputs that power real-world business workflows. This role is focused on solving complex, high-variability problems and developing reliable, production-ready AI solutions rather than building standalone models.

Key Responsibilities

• Build, optimize, and maintain end-to-end AI/ML pipelines, from data ingestion and pre processing to inference and structured output generation.
• Work with noisy and inconsistent datasets to improve data quality and model performance.
• Develop pre processing pipelines, including data normalization, transformations, and input standardization.
• Design and execute experiments, fine-tune models, and evaluate trade-offs between accuracy, latency, and cost.
• Collaborate with software engineering teams to deploy production-ready ML models through APIs and batch or real-time processing systems.
• Monitor, debug, and improve model performance in production environments.

Required Skills & Experience

• 4+ years of hands-on experience in Artificial Intelligence/Machine Learning with exposure to Computer Vision.
• Strong proficiency in Python with production-quality coding practices.
• Solid understanding of microservices architecture and system design principles.
• Experience designing, building, and deploying production-grade ML systems.
• Hands-on experience developing systems that extract or process information from complex visual inputs, such as documents, forms, or other structured data.
• Strong understanding of neural network architectures, including CNNs, Transformers, and sequence models, along with their practical trade-offs.

• Ability to:

• Select appropriate AI/ML approaches based on business and technical requirements.
• Fine-tune and optimize models for performance, scalability, and reliability.
• Debug model behavior and troubleshoot production issues.
• Perform error analysis and evaluate model performance using appropriate metrics.

Preferred Qualifications

• Experience working with cloud platforms such as Microsoft Azure or similar.
• Familiarity with scalable data pipelines, containerization (Docker/Kubernetes), and distributed systems.
• Exposure to multimodal AI systems combining vision and text.

What We’re Looking For

• Strong problem-solving and analytical skills.
• Experience delivering AI solutions in production environments.
• Ability to work collaboratively with cross-functional engineering teams.
• Passion for building scalable, reliable, and high-quality AI systems.

What We’re Not Looking For

• Candidates with only academic or proof-of-concept project experience.
• Heavy reliance on plug-and-play AI APIs without understanding the underlying models and architecture.
• Inability to explain previous projects end-to-end, including data, model selection, deployment, and business impact.
• Profiles focused only on generic image classification or object detection without real-world production deployment experience.