About Us CLOUDSUFI a Google Cloud Premier Partner is a global leading provider of data-driven digital transformation across cloud-based enterprises With a global presence and focus on Software Platforms Life sciences and Healthcare Retail CPG financial services and supply chain CLOUDSUFI is positioned to meet customers where they are in their data monetization journey Our Values We are a passionate and empathetic team that prioritizes human values Our purpose is to elevate the quality of lives for our family customers partners and the community Equal Opportunity Statement CLOUDSUFI is an equal opportunity employer We celebrate diversity and are committed to creating an inclusive environment for all employees All qualified candidates receive consideration for employment without regard to race color religion gender gender identity orexpression sexual orientation and national origin status We provide equal opportunities inemployment advancement and all other areas of our workplace Please explore more at https www cloudsufi com Role Overview As a Senior Data Scientist AI Engineer you will be a key player in our technical leadership You will be responsible for designing developing and deploying sophisticated AI and Machine Learning solutions with a strong emphasis on Generative AI and Large Language Models LLMs You will architect and manage scalable AI microservices drive research into state-of-the-art techniques and translate complex business requirements into tangible high-impact products This role requires a blend of deep technical expertise strategic thinking and leadership Key Responsibilities Architect Develop AI Solutions Design build and deploy robust and scalable machine learning models with a primary focus on Natural Language Processing NLP Generative AI and LLM-based Agents Build AI Infrastructure Create and manage AI-driven microservices using frameworks like Python FastAPI ensuring high performance and reliability Lead AI Research Innovation Stay abreast of the latest advancements in AI ML Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization Solve Business Problems Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value such as building business rule engines or predictive classification systems End-to-End Project Ownership Take ownership of the entire lifecycle of AI projects from ideation data processing and model development to deployment monitoring and iteration on cloud platforms Team Leadership Mentorship Lead learning initiatives within the engineering team mentor junior data scientists and engineers and establish best practices for AI development Cross-Functional Collaboration Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture Required Skills and Qualifications Master s M Tech or Bachelor s B Tech degree in Computer Science Artificial Intelligence Information Technology or a related field 6 years of professional experience in a Data Scientist AI Engineer or related role Expert-level proficiency in Python and its core data science libraries e g PyTorch Huggingface Transformers Pandas Scikit-learn Demonstrable hands-on experience building and fine-tuning Large Language Models LLMs and implementing Generative AI solutions Proven experience in developing and deploying scalable systems on cloud platforms particularly AWS Experience with GCS is a plus Robust background in Natural Language Processing NLP including experience with multilingual models and transcription Experience with containerization technologies specifically Docker Solid understanding of software engineering principles and experience building APIs and microservices Preferred Qualifications A strong portfolio of projects A track record of publications in reputable AI ML conferences is a plus Experience with full-stack development Node js Next js and various database technologies SQL MongoDB Elasticsearch Familiarity with setting up and managing CI CD pipelines e g Jenkins Proven ability to lead technical teams and mentor other engineers Experience developing custom tools or packages for data science workflows