Ai Ml Engineer

2 weeks ago

Hyderabad, Telangana, India People Tech Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are looking for an experienced AI/ML Engineer (5-7 years) with strong expertise in computer vision and image-based AI systems. The ideal candidate should have proven experience in designing, training, and deploying image models along with a solid foundation in core machine learning, deep learning, and MLOps practices.

Experience: 5-7 Years

Location: Hitech City, Hyderabad

Notice Period: Immediate to 15 Days

Key Responsibilities

  • Design and implement computer vision solutions for object detection, classification, segmentation, OCR, anomaly detection, etc.
  • Build and optimize deep learning models (CNNs, Vision Transformers, GANs, Diffusion Models) for image data.
  • Develop end-to-end ML pipelines: data acquisition, annotation, preprocessing, augmentation, model training, evaluation, deployment, and monitoring.
  • Work with large-scale image datasets and ensure data quality, labeling accuracy, and augmentation strategies.
  • Collaborate with cross-functional teams to integrate vision models into production systems (e.g., mobile, embedded, or cloud platforms).
  • Research and apply state-of-the-art CV/AI advancements (YOLO, Faster R-CNN, Mask R-CNN, DETR, SAM, CLIP, Stable Diffusion, etc.).
  • Optimize models for real-time performance, low-latency inference, and edge deployment.
  • Mentor junior engineers and ensure best practices for image-based AI development.

Required Skills & Qualifications

  • Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or related field.
  • Required hands-on experience in AI/ML
  • Strong knowledge of image processing and computer vision techniques (OpenCV, PIL, scikit-image).
  • Proficiency in deep learning frameworks: PyTorch, TensorFlow, Keras.
  • Experience in object detection, segmentation, and classification models (YOLO, Faster R-CNN, U-Net, Vision Transformers).
  • Familiarity with data labeling tools (Labelbox, CVAT, VOTT, Roboflow).
  • Strong understanding of MLOps: model serving, CI/CD pipelines, containerization (Docker), orchestration (Kubernetes).
  • Cloud ML platform experience (AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Knowledge of image augmentation, synthetic data generation, and annotation automation.
  • Solid coding skills in Python and familiarity with C++ for performance optimization (nice to have).

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