Advisor, Data Science (I7)

Data Science Advisor

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our 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. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in Bangalore.

What you’ll achieve
As a Data Science Advisor, you will be responsible for contributing to 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. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• Play a key role in designing and implementing intelligent solutions using Generative AI, Large Language Models (LLMs), and Machine Learning and work closely with senior architects and cross-functional teams to bring AI-driven innovations to life, particularly in the domain of technical support services and enterprise automation.
• Contribute to the design and development of GenAI and LLM-based solutions for enterprise-scale use cases and collaborate with senior data scientists and engineers to build, fine-tune, and deploy NLP and deep learning models.
• Assist in the integration of AI models into existing systems and workflows, ensuring performance and scalability and participate in data preparation, feature engineering, and model evaluation for various AI/ML projects.
• Stay updated on the latest trends in AI/ML, LLMs, and MLOps, and bring innovative ideas to the team and support the monitoring and optimization of deployed models using MLOps tools and best practices.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 4–8 years of hands-on experience in data science, machine learning, or AI solution development.
• Proficiency in Python, with experience in libraries such as TensorFlow, PyTorch, or Hugging Face Transformer and Familiarity with LLMs, NLP techniques, and Generative AI frameworks.
• Experience working with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker.
• Strong analytical, problem-solving, and communication skills.

Desirable Requirements

• Exposure to MLOps tools (e.g., MLflow, Kubeflow, SageMaker) and model lifecycle management and understanding of data engineering concepts and tools like Spark, Kafka, or Airflow.
• Experience with REST APIs, microservices, and integrating ML models into production environments and knowledge of DevOps practices, CI/CD pipelines, and Kubernetes is a plus.
• Ability to work in agile teams and contribute to multiple projects simultaneously.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 15th September, 2025.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.