Advisor, Data Science (I7)

Dell Technologies; Bengaluru; On-site; INR 1,600,000 - 2,600,000; Full time

Job summary

A leading technology firm seeks a Data Science Advisor to drive innovative AI and machine learning solutions while analyzing complex data sets. This role involves designing intelligent models, collaborating with engineers, and developing LLM-based applications. Qualifications include a degree in Computer Science or related fields and 4–8 years of experience in data science. The ideal candidate is proficient in Python and has experience with cloud platforms. Join a dynamic team at the forefront of technology innovation in Bengaluru.

Qualifications

• 4–8 years of hands-on experience in data science or AI solution development.
• Strong analytical, problem-solving, and communication skills.
• Experience with cloud platforms and containerization tools.
• Experience with cloud platforms (AWS, Azure, or GCP) and Docker.

Responsibilities

• Design intelligent solutions using AI, ML, and LLMs.
• Generate actionable insights from complex data sets.
• Collaborate on predictive models and algorithms.
• Design and implement GenAI/LLM‑based solutions for enterprise‑scale use cases and collaborate to build, fine‑tune, and deploy NLP and deep learning models.
• Assist in integrating AI models into existing systems ensuring performance and scalability, including data preparation and model evaluation.

Skills

Proficiency in Python

Experience with TensorFlow

Experience with PyTorch

Experience with NLP techniques

Cloud platforms

Docker

Data analysis

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Docker

Job description

3 days ago Be among the first 25 applicants

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. In collaboration with leading academics, industry experts and highly skilled engineers, we 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 influencing decision‑making based on 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 partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

• 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.

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.

Application closing date: 15th September 2025.

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