Senior Advisor- Data Science

Data Science is about pioneering new approaches to help businesses answer critical questions by analyzing massive data sets. As a Senior Advisor on the Data Science Team in Bangalore, you will play a crucial role in shaping methodologies and models to extract meaningful insights from petabyte-scale data. Collaborating with experts, engineers, and academics, you will empower customers to derive valuable insights from large data sets. Your primary responsibilities will include contributing to business strategies, influencing decision-making through deep analysis, and providing actionable recommendations based on complex data interpretations. You will design processes to extract insights from unstructured data, develop predictive models and algorithms, and work closely with stakeholders to deliver actionable business insights. Key Responsibilities: - Collaborate with internal and external teams to understand customer needs and propose solutions - Engage with external clients to gather project requirements and share analytical insights - Conduct data exploration and preparation for model development and validation - Apply statistical, machine learning, and business intelligence techniques to deliver actionable insights - Solution, build, deploy, and monitor models effectively Requirements: - Minimum 8 years of experience in NLP, Machine Learning, Computer Vision, and GenAI - Proficiency in data visualization tools like Power BI, matplotlib, and plotly - Hands-on experience with CNN, LSTM, YOLO, SQL, Postgres SQL, PGVector, and ChromaDB - Strong understanding of MLOps and ML lifecycle management - Expertise in large language models, prompt engineering, and NLP tasks Desired Skills: - Knowledge of streaming/messaging frameworks like Kafka, RabbitMQ, ZeroMQ - Familiarity with cloud platforms such as AWS, Azure, GCP - Experience with web technologies and frameworks like HTTP, REST, GraphQL, Flask, Django - Proficiency in programming languages like Java or JavaScript Join Dell Technologies to work with cutting-edge technology and drive impactful change. We value diversity and are committed to providing an inclusive work environment where everyone can thrive and grow. If you are passionate about leveraging data science to make a difference, apply now and take the first step towards a rewarding career with us. Application closing date: 8 August 2025 Job ID: R260848,