Advisor- Data Science

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,