About the Role:

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We are seeking a talented Senior Data Scientist to join our team and contribute to the development of cutting-edge AI solutions. The ideal candidate will have a strong background in computer vision, GraphQL, and graphical neural networks. You will be responsible for designing, developing, and deploying innovative data-driven solutions to solve complex problems.

Responsibilities:

• Develop and implement machine learning algorithms for computer vision and GraphQL-based applications.
• Collect, clean, and prepare large datasets for analysis.
• Explore and experiment with different machine learning techniques and architectures, including graphical neural networks.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 
• Design and implement GraphQL APIs to expose machine learning models and services.
• Develop and maintain scalable data pipelines and infrastructure.
• Stay up-to-date with the latest advancements in machine learning, AI, and GraphQL.

Requirements

·       5 to 8 years of strong professional experience working on Machine Learning for PoC as well as Production with International Clients

• Bachelor’s degree, Master's degree or PhD in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, OpenCV, and GraphQL.
• Deep understanding of computer vision algorithms and techniques (e.g., object detection, image segmentation, image generation).
• Experience with graphical neural networks (GNNs) and their applications.
• Proficiency in machine learning algorithms and techniques (e.g., regression, classification, clustering).
• Experience with GraphQL API development and GraphQL schema design, Neo4J etc.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
• Excellent problem-solving, analytical, and communication skills.

Preferred Skills:

• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Knowledge of reinforcement learning and generative models.
• Familiarity with cloud-based machine learning platforms and GraphQL-specific tools.