Dell Technologies Advisor – Machine Learning Jobs 2026
Data Science / Machine Learning | Bengaluru
Job Overview
Dell Technologies is hiring for the role of Advisor – Machine Learning in Bengaluru, India.
This opportunity is ideal for experienced professionals who have a strong background in machine learning, full-stack development, and data engineering, and are passionate about building AI-driven solutions at scale. In this role, you will work across the entire technology stack—from front-end interfaces to backend systems and ML pipelines—while contributing to cutting-edge projects involving MLOps, Big Data, and Generative AI.
💡 Why this role?
This position is best suited for candidates who enjoy solving complex business problems using advanced analytics, LLMs, and scalable machine learning systems in an innovative, cross-functional global environment.
Roles & Responsibilities
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Design and develop scalable machine learning applications, working across front-end and backend technologies to deliver full-stack solutions.
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Build and manage end-to-end ML pipelines and MLOps workflows, implementing data exploration and data preparation for model development.
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Apply machine learning, statistical, and business intelligence techniques to develop and deploy models, including LLMs and Generative AI solutions.
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Optimize model performance and scalability using distributed systems and Big Data frameworks.
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Collaborate with cross-functional teams to deliver data-driven business insights and contribute to the continuous improvement of ML systems and processes.
Eligibility Criteria
Education
Bachelor’s Degree in a relevant technical, computer science, or data science field.
Experience
4+ years of experience in full-stack development and machine learning, including strong exposure to MLOps and Big Data ecosystems.
Technical & Core Competence
Proficiency in JavaScript/TypeScript, React/Vue, Node.js, and Python. Hands-on experience with MLOps tools (MLflow, Kubeflow, or SageMaker). Experience with Big Data technologies (Apache Spark, PySpark) and familiarity with Generative AI / LLMs.
How to Apply
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