Data Scientist

Job Summary:

We are looking for a talented and forward-thinking Data Scientist who specializes in the latest machine learning technologies, particularly transformers and neural networks. The ideal candidate should have experience handling diverse data types, such as images, text, and videos, and be skilled in developing innovative AI/ML models to enhance our products and solutions. (Remote Position)

Primary Responsibilities:

• Develop and deploy machine learning models using advanced architectures, including transformers, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).
• Work with image and video data to create models for object detection, segmentation, classification, and analytics.
• Collaborate with data engineers and developers to integrate machine learning models into production systems.
• Stay abreast of the latest advancements in machine learning, computer vision, and artificial intelligence.
• Analyze complex structured and unstructured datasets to generate insights and refine machine learning models.
• Partner with cross-functional teams to address business challenges through machine learning solutions.

Required Skills & Qualifications:

• Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field (Bachelor’s, Master’s, or Ph.D.).
• Over 2 years of experience in machine learning with an emphasis on transformers, neural networks, and deep learning.
• Practical experience with image and video data using frameworks such as TensorFlow, PyTorch, and Keras.
• Proficiency in programming languages like Python, R, or Scala, with experience in tools such as OpenCV, scikit-learn, and Hugging Face Transformers.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment.
• Knowledge of MLOps best practices for deploying, scaling, and monitoring models.
• Experience in natural language processing (NLP) utilizing transformers (e.g., BERT, GPT).
• Strong knowledge of generative AI methods for image and video synthesis.
• Understanding of big data technologies (Hadoop, Spark) and distributed computing.
• Proven experience with real-time video analytics and edge AI.
• Excellent problem-solving skills focused on creating practical and scalable solutions.
• Strong communication abilities to convey complex technical ideas to non-technical audiences.