We are seeking an experienced and passionate AI/ML Engineer with robust 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, DALL·E, 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.
- Strong 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

- Bachelor’s or Master’s 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 [email protected]

📌 Python AI/ML Engineer – Computer Vision & NLP (India)
🏢 SolutionChamps Technologies
📍 India