Python AI/ML Engineer Computer Vision & NLP (India)

We are seeking an experienced and passionate AI/ML Engineer with strong expertise in Image Processing, Deep Learning, and NLP. You will be responsible for designing, developing, and deploying cutting-edge AI solutions using the latest in YOLO, OpenAI APIs, CNN architectures, and natural language processing techniques. Key Responsibilities - Design and develop AI models for image recognition, object detection, and text understanding. - Work with the latest YOLO versions (v6, v7, v8) for real-time object detection and tracking. - Build and fine-tune CNNs and other deep learning architectures for computer vision tasks. - Integrate OpenAI APIs (ChatGPT, Whisper, DALLE, etc.) for NLP, generative AI, and automation workflows. - Process and analyze large-scale datasets including images, videos, and text. - Collaborate with cross-functional teams such as data scientists, product managers, and software engineers. - Optimize model performance for accuracy, speed, and efficiency. - Stay current with advancements in machine learning, computer vision, and natural language processing. Required Skills & Experience - 4+ years of hands-on experience in AI/ML engineering. - Robust proficiency in Python and ML frameworks such as TensorFlow, PyTorch, OpenCV, Scikit-learn. - Practical experience with YOLO (v6/v7/v8) and other real-time detection models. - Deep understanding of CNNs, transformers, and modern deep learning architectures. - Strong understanding of model quantization, optimization, and implementation of pre- and post-processing pipelines for deep learning models. - Experience handling large datasets and preparing high-quality annotations for training and evaluation. - Expertise in model conversion and optimization based on hardware - Hands-on experience with OpenAI tools & APIs for NLP and generative AI. - Solid skills in image preprocessing, augmentation, and annotation pipelines. - Familiarity with NLP tasks including sentiment analysis, NER, and text summarization. - Experience deploying models using Docker, REST APIs, or cloud platforms (AWS/GCP/Azure) in production environments. - Strong problem-solving, debugging, and analytical abilities. Preferred Qualifications - Knowledge with LLaMA, Stable Diffusion, or other generative AI frameworks. - Experienceof MLOps tools such as MLflow, Weights & Biases, or Kubeflow. - Exposure to OCR tools like Tesseract or EasyOCR. - Prior experience working in AI product development or startups. Education - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Work Location: - Location : Coimbatore - Job Type : Full-Time - Experience Level : Mid-Level (4+ years) Email your latest CV to We are seeking an experienced and passionate AI/ML Engineer with strong expertise in Image Processing, Deep Learning, and NLP. You will be responsible for designing, developing, and deploying cutting-edge AI solutions using the latest in YOLO, OpenAI APIs, CNN architectures, and natural language processing techniques. Key Responsibilities - Design and develop AI models for image recognition, object detection, and text understanding. - Work with the latest YOLO versions (v6, v7, v8) for real-time object detection and tracking. - Build and fine-tune CNNs and other deep learning architectures for computer vision tasks. - Integrate OpenAI APIs (ChatGPT, Whisper, DALLE, etc.) for NLP, generative AI, and automation workflows. - Process and analyze large-scale datasets including images, videos, and text. - Collaborate with cross-functional teams such as data scientists, product managers, and software engineers. - Optimize model performance for accuracy, speed, and efficiency. - Stay current with advancements in machine learning, computer vision, and natural language processing. Required Skills & Experience - 4+ years of hands-on experience in AI/ML engineering. - Robust proficiency in Python and ML frameworks such as TensorFlow, PyTorch, OpenCV, Scikit-learn. - Practical experience with YOLO (v6/v7/v8) and other real-time detection models. - Deep understanding of CNNs, transformers, and modern deep learning architectures. - Strong understanding of model quantization, optimization, and implementation of pre- and post-processing pipelines for deep learning models. - Experience handling large datasets and preparing high-quality annotations for training and evaluation. - Expertise in model conversion and optimization based on hardware - Hands-on experience with OpenAI tools & APIs for NLP and generative AI. - Solid skills in image preprocessing, augmentation, and annotation pipelines. - Familiarity with NLP tasks including sentiment analysis, NER, and text summarization. - Experience deploying models using Docker, REST APIs, or cloud platforms (AWS/GCP/Azure) in production environments. - Strong problem-solving, debugging, and analytical abilities. Preferred Qualifications - Knowledge with LLaMA, Stable Diffusion, or other gener