AI/ML Engineer

SolutionChamps Technologies Pvt. Ltd.; Coimbatore District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

A technology solutions company in Coimbatore is seeking an experienced AI/ML Engineer specializing in computer vision and natural language processing. The ideal candidate will have over 4 years of experience in designing and deploying AI models using tools such as YOLO and various ML frameworks. A strong background in Python and hands-on experience with OpenAI APIs are essential for this role, which offers a dynamic working environment and opportunities for innovation.

Qualifications

• 4+ years of hands-on experience in AI/ML engineering.
• Strong proficiency in Python and ML frameworks.
• Deep understanding of CNNs, transformers, and modern deep learning architectures.

Responsibilities

• Design and develop AI models for image recognition and object detection.
• Integrate OpenAI APIs for NLP and generative AI workflows.
• Optimize model performance for accuracy and efficiency.

Skills

Image Processing

Deep Learning

NLP

Python

TensorFlow

PyTorch

OpenCV

Scikit-learn

YOLO

Docker

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science

Tools

MLflow

Weights & Biases

Kubeflow

Tesseract

EasyOCR

Job description

Python AI/ML Engineer – Computer Vision & NLP (02 Positions)

We are seeking an experienced and passionate AI/ML Engineer with strong expertise in ImageProcessing, Deep Learning, and NLP. You will be responsible for designing, developing, anddeploying cutting-edge AI solutions using the latest in YOLO, OpenAI APIs, CNN architectures,and natural language processing techniques.

• 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.
• 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.
• 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.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.