ML Engineer

As a Machine Learning Engineer, you will work on designing, developing, and deploying machine learning models that leverageComputer VisionandGenerative AItechniques. You will be responsible for building and improving AI systems that solve real-world problems, driving the next wave of innovation in our products and services. Required Skills and Qualifications: 2-5 years of hands-on experience in machine learning engineering with a focus onComputer VisionandGenerative AI. Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar. Expertise inComputer Visiontechniques, including image classification, object detection, segmentation, and tracking. Hands-on experience withGenerative AImodels such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other deep learning-based generative models. Solid understanding of computer vision libraries such as OpenCV, scikit-image, or similar. Experience withmodel optimization techniquessuch as pruning, quantization, and knowledge distillation. Strong programming skills inPython, with experience in data manipulation (e.g., pandas, NumPy), model training, and evaluation. Knowledge of NLP, Deep Learning, and/or other AI fields. Familiarity withDevOpspractices related to machine learning (CI/CD, version control, automated testing). Familiarity with cloud platforms (AWS, GCP, or Azure) and deployment tools (Docker, Kubernetes, etc.). Knowledge of reinforcement learning or other advanced AI techniques. Experience with deploying models to production and managing model lifecycle. Excellent problem-solving skills, analytical thinking, and a passion for innovation. Strong communication skills to collaborate with cross-functional teams and explain complex AI concepts clearly. As a Machine Learning Engineer, you will work on designing, developing, and deploying machine learning models that leverageComputer VisionandGenerative AItechniques. You will be responsible for building and improving AI systems that solve real-world problems, driving the next wave of innovation in our products and services. Required Skills and Qualifications: 2-5 years of hands-on experience in machine learning engineering with a focus onComputer VisionandGenerative AI. Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar. Expertise inComputer Visiontechniques, including image classification, object detection, segmentation, and tracking. Hands-on experience withGenerative AImodels such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other deep learning-based generative models. Solid understanding of computer vision libraries such as OpenCV, scikit-image, or similar. Experience withmodel optimization techniquessuch as pruning, quantization, and knowledge distillation. Strong programming skills inPython, with experience in data manipulation (e.g., pandas, NumPy), model training, and evaluation. Knowledge of NLP, Deep Learning, and/or other AI fields. Familiarity withDevOpspractices related to machine learning (CI/CD, version control, automated testing). Familiarity with cloud platforms (AWS, GCP, or Azure) and deployment tools (Docker, Kubernetes, etc.). Knowledge of reinforcement learning or other advanced AI techniques. Experience with deploying models to production and managing model lifecycle. Excellent problem-solving skills, analytical thinking, and a passion for innovation. Strong communication skills to collaborate with cross-functional teams and explain complex AI concepts clearly.