Let's Create, Inspire, Deliver Together at Kodexo Labs!
Who We Are: We're at the forefront of AI innovation, dedicated to transforming how businesses operate with advanced technology. Our team thrives on creativity, collaboration, and the drive to make a significant impact in the tech industry.
Required Skills for the ML Engineer Resource at Kodexo Labs:
-Experience 2+ Years
-Experience with PyTorch Coding and understanding Architectures
-Object Detection Models, YOLO models, SSD MobileNet, Faster-RCNN, Onnx and Tf-lite Models
-Traditional Computer Vision Algorithms (Feature extraction, Image Segmentation, Object Tracking) and Deep Learning Models
-Image Classification Models (VGG, ResNet, CNN Models, Custom Architectures and Neural Networks)
-Stable Diffusion, Automatic1111, Diffusion Models
-Transfer Learning, Data Annotation, Image Augmentation, Roboflow Handling, Model Pruning
-Basic Understanding of LLMs, RAG, Prompting and Fine Tuning
-Knowledge of ML Algorithms (LR, SVM, NB, KNN, Clustering)
-Cloud Platforms (AWS, Azure or GCP)
-Generative Models
-NLTK, Scipy, Pillow, Pandas, OpenCV, Tkinter, PySimpleGUI and scikit-learn
-Transformers and Attention Mechanisms
-OpenAI and Gemini API usage
-Proficiency in Linux, Python, and Google Colab/Kaggle
-Familiarity with DevOps practices and version control systems (e.g., Github, Gitlab)
-RNNs, VAE, GANs, LSTMs and GRU
-Develop RESTful APIs using Flask for model inference and integration with web services.
-Work closely with frontend and other backend developers to integrate machine learning functionalities into web and mobile applications.
-Multithreading and asynchronous programming techniques for optimizing model inference speed and scalability.
Benefits:
Note: Only Candidates with relevant experience and skills are encouraged to apply.
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