Data Science Specialist

Role

• Lead end-to-end development of ML/DL models from data preprocessing to model deployment.
• Design and implement advanced solutions using computer vision, NLP, and generative AI models (e.g., Transformers, GANs).
• Apply and experiment with agentic AI approaches to build autonomous decision-making systems.
• Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes.
• Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred).
• Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems.
• Mentor junior data scientists and contribute to AI knowledge sharing across teams.

JD

• 4+ years of industry experience in data science, ML, or AI, with demonstrated project ownership.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc.
• Strong background in generative models (e.g., LLMs, GANs, VAEs) and foundational ML techniques.
• Expertise in computer vision, including object detection, image classification, and segmentation.
• Experience in implementing agentic AI systems using modern orchestration tools and frameworks.
• Hands-on experience with Azure AI services (e.g., Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling).
• Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring).
• Strong analytical, problem-solving, and communication skills.
• Experience working in cloud-native AI environments (Azure, AWS, or GCP).
• Exposure to vector search engines, knowledge graphs, and retrieval-augmented generation (RAG).

Publications, patents, or active participation in AI communities or open-source contributions