Full stack Data scientist

Responsibilities:

• Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities
• Good exposure with implementing robust CI/CD automation and orchestration using tools like Azure DevOps
• Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements
• Design and implementation of the overall web architecture with real time exposure of developing REST APIs
• Good command for designing and building the entire stack for speed and scalability
• Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies
• Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation
• Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models
• Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform
• Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready
• Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress
• Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies
• Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions

Requirements

• Bachelor's degree in Computer science, Engineering, Mathematics, Statistics or a related field
• Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models
• Familiarity with algorithms both in supervised and un-supervised learning
• Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience
• Exposure at implementing CI/CD pipelines to streamline development and deployment
• Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models
• Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture
• Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc
• Exposure in modular, typed, and object-oriented Python programming
• Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL)
• Excellent communication skills with a desire to work in multidisciplinary teams
• Expert for analysing the errors of the model and designing strategies to overcome them