Python Developer - Data Science Domain

Your primary responsibilities will include developing, deploying, and optimizing Python-based applications for Visual AI tasks like image classification, object detection, and image generation. You will also be tasked with designing, implementing, and fine-tuning machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. Additionally, you will work with diffusion models, GANs, VAEs, and other generative models for tasks like text-to-image and image-to-image generation. Collaboration with cross-functional teams to integrate Visual AI capabilities into applications, conducting exploratory data analysis, and implementing feature engineering for AI/ML tasks will also be part of your role. Furthermore, you will optimize models for performance, scalability, and accuracy, as well as document and present findings, tools, and best practices to technical and non-technical stakeholders.

The ideal candidate should demonstrate strong proficiency in Python with experience in data science and machine learning. Hands-on experience with frameworks like TensorFlow, PyTorch, OpenCV, and scikit-learn is required. A good understanding of computer vision techniques such as object detection, image segmentation, and image generation is essential. Familiarity with Generative AI techniques including GANs, VAEs, diffusion models, and LLaMA is advantageous. Experience with data manipulation tools like Pandas, NumPy, and visualization tools like Matplotlib and Seaborn is beneficial. Knowledge of cloud platforms (AWS, GCP, or Azure) and tools like Docker for model deployment, as well as familiarity with model optimization techniques including transfer learning, fine-tuning, and LoRA, will be a plus.

This position offers an exciting opportunity to work with cutting-edge technologies in a collaborative environment. If you are passionate about Python development, machine learning, and Visual AI tasks, we encourage you to apply for this role and be a part of our innovative team.,