AI / ML Engineer

Job Title: AI / ML Engineer

Company: Mukesh Buildtech (Stealth Startup)

Work Location: Salem, Tamil Nadu

About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up.

If you're interested, please send your updated CV to sumathi@mukeshassociates.com.

Role Overview:

We are seeking a highly skilled Computer Vision & Machine Learning Engineer with expertise in AI-driven image recognition, object detection, and model deployment. The ideal candidate will have experience working with Stable Diffusion, SDXL, ControlNet, and LoRA models for advanced image generation, along with a solid background in TensorFlow, PyTorch, and OpenCV. You will be responsible for fine-tuning models, integrating AI-driven image-processing workflows, and deploying them at scale.

Key Responsibilities:

• Develop and fine-tune Stable Diffusion, SDXL, ControlNet, LoRA models for computer vision applications.
• Implement inpainting, outpainting, and style transfer techniques to enhance image processing capabilities.
• Dynamically load LoRA adapters to optimize AI-generated content workflows.
• Deploy and maintain Inference APIs that trigger backend processes and return image blobs efficiently.
• Utilize Real-ESRGAN, SwinIR, and other upscaling models to improve image resolution and output quality.
• Integrate safety checkers to filter out NSFW/violent content within AI-generated images.
• Optimize GPU scheduling to ensure efficient routing of requests to available GPU workers.
• Implement model caching strategies to reduce unnecessary reloads and improve inference speed.
• Work with SQL and NoSQL databases to handle large-scale datasets for training and inference.
• Collaborate with cross-functional teams to develop and integrate AI models into production environments.
• Deploy models using cloud services (AWS, Azure, Google Cloud) and containerization tools such as Docker and Kubernetes.
• Maintain and improve CI/CD pipelines, version control (Git), and best practices for model deployment.
• Adapt pre-trained LLMs for image and product identification applications.

Required Skills & Qualifications:

• 2+ years of experience in Computer Vision, Image Recognition, and Machine Learning.
• Proficiency in Python, including libraries such as NumPy, OpenCV, and scikit-image.
• Strong expertise with TensorFlow, PyTorch, or Keras for deep learning model development.
• Experience working on product identification projects or similar AI-driven applications.
• Hands-on experience with fine-tuning deep learning models for optimized performance.
• Understanding of REST and GraphQL APIs for backend AI model integration.
• Knowledge of database management (SQL & NoSQL) for dataset processing.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) for model deployment.
• Expertise in Docker & Kubernetes for scalable AI systems.
• Strong grasp of Git, CI/CD pipelines, and software development best practices.

Why Join Us:

• Be a part of a pioneering team at the forefront of marketplace innovation.
• Work in a collaborative and dynamic environment with opportunities for growth.
• Contribute to a product that will have a significant impact on the industry.