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.
- Robust 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 (phone hidden). Thanks& Regards,

Praneeth.N

📌 Ai Ml Engineer (Bengaluru)
🏢 Zettamine Labs
📍 Bengaluru