Data Scientist Ml Ai Python

As a Computer Vision Engineer at our organization, you will be responsible for developing and optimizing computer vision models for various applications such as object detection, segmentation, classification, tracking, OCR, and more. Your role will involve building end-to-end deep learning pipelines, working on Generative AI applications, and developing scalable machine learning workflows. Key Responsibilities: - Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment. - Work on Generative AI applications such as image generation, style transfer, synthetic data creation, and multimodal models. - Develop scalable machine learning workflows, including model evaluations and experiment tracking. - Deploy ML models into production using MLOps practices and monitor performance. - Research and integrate the latest advancements in AI, computer vision, and GenAI. Qualifications Required: - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field. - 5+ years of experience in data science and computer vision. - Proficiency in Computer Vision & Image Processing (OpenCV, PIL, scikit-image) and Machine Learning (scikit-learn, XGBoost, LightGBM). - Experience with Generative AI (GANs, diffusion models, LLM-based multimodal systems) and model deployment (TensorRT, ONNX, Docker, FastAPI). - Strong programming skills in Python, with a good understanding of algorithms and data structures. - Experience working with cloud platforms (AWS, Azure, GCP) and familiarity with MLOps tools (MLflow, DVC, Kubernetes, Git). In addition to the technical responsibilities, our organization is driven by passion from the founders to the newest recruits. Customer satisfaction is a key performance indicator, and our team of experienced developers and project managers collaborates closely with clients to deliver high-quality solutions on time and within budget. Whether it's a custom software application, website, or mobile app, we have the expertise to bring every project to life. As a Computer Vision Engineer at our organization, you will be responsible for developing and optimizing computer vision models for various applications such as object detection, segmentation, classification, tracking, OCR, and more. Your role will involve building end-to-end deep learning pipelines, working on Generative AI applications, and developing scalable machine learning workflows. Key Responsibilities: - Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment. - Work on Generative AI applications such as image generation, style transfer, synthetic data creation, and multimodal models. - Develop scalable machine learning workflows, including model evaluations and experiment tracking. - Deploy ML models into production using MLOps practices and monitor performance. - Research and integrate the latest advancements in AI, computer vision, and GenAI. Qualifications Required: - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field. - 5+ years of experience in data science and computer vision. - Proficiency in Computer Vision & Image Processing (OpenCV, PIL, scikit-image) and Machine Learning (scikit-learn, XGBoost, LightGBM). - Experience with Generative AI (GANs, diffusion models, LLM-based multimodal systems) and model deployment (TensorRT, ONNX, Docker, FastAPI). - Strong programming skills in Python, with a good understanding of algorithms and data structures. - Experience working with cloud platforms (AWS, Azure, GCP) and familiarity with MLOps tools (MLflow, DVC, Kubernetes, Git). In addition to the technical responsibilities, our organization is driven by passion from the founders to the newest recruits. Customer satisfaction is a key performance indicator, and our team of experienced developers and project managers collaborates closely with clients to deliver high-quality solutions on time and within budget. Whether it's a custom software application, website, or mobile app, we have the expertise to bring every project to life.