Ai Ml Engineer

Hello All,

Greetings from ZettaMine!!!

Job Title: Machine Learning Engineer (AI/Model Deployment)

Location: Hyderabad Pan India

Experience: 8+ Years

Notice Period: Immediate Joiners

Working Mode: Hybrid 3 days from office

Role Overview

We are looking for an experienced Machine Learning Engineer with strong expertise in Python, applied AI, and model deployment. The ideal candidate will have hands-on experience in developing, fine-tuning, evaluating, and integrating advanced ML modelsparticularly CNNs and vision architecturesfor real-world retail video use cases.

Key Responsibilities

• Design, build, and deploy machine learning models into production environments.
• Train, fine-tune, and evaluate models such as CNNs, Vision Transformers, Object Detection, and Classification for video frame processing and tracking.
• Collaborate with cross-functional teams to develop scalable AI solutions for retail and enterprise applications.
• Implement and optimize ML pipelines using Azure ML, Databricks, MLflow, and other cloud ML platforms.
• Develop APIs, services, and inference components (batch/streaming) for production systems.
• Ensure robust engineering practices including Git workflows, automated testing, code reviews, and containerization with Docker.
• Apply model optimization techniques (ONNX, TensorRT, OpenVINO, quantization, batching) to improve performance.
• Work with event-driven architectures, REST APIs, message queues, and data lakes for scalable AI integration.
• Maintain compliance with security, privacy, and governance requirements for sensitive data.

Required Skills & Experience

• Primary Skills (P): Python, ML Engineering, AI, Model Deployment
• Secondary Skills (S): Azure ML, Databricks, Docker
• 5+ years in software engineering, ML engineering, applied AI, or production ML systems.
• 3+ years of hands-on experience building, training, fine-tuning, and deploying ML models in applied business environments.
• Strong proficiency in Python and ML frameworks: PyTorch, TensorFlow, scikit-learn, OpenCV.
• Experience in ML domains such as NLP, forecasting, classification, recommendation systems, anomaly detection, multimodal AI, or generative AI.
• Proven track record in building production-quality APIs and inference systems.

Preferred Skills

• Familiarity with Azure ML, Azure AI services, Databricks, MLflow.
• Knowledge of distributed inference, real-time AI systems, and high-throughput event processing.
• Experience with enterprise integration patterns and metadata/event pipelines.
• Understanding of model deployment formats and optimization tooling.
• Exposure to governance frameworks for sensitive operational data.

Interested candidates share your updated CV to [email protected] or WhatsApp to 8977318915.

Thanks& Regards,

Praneeth.N