Advisor, Machine Learning at Dell Technologies

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Jul, 26

Salary

0.0

Posted On

12 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

JavaScript, TypeScript, React, Vue, Node.js, Python, MLOps, MLflow, Kubeflow, SageMaker, Machine Learning, Big Data Engineering, Apache Spark, PySpark, Generative AI, Large Language Models

Industry

Computer Hardware Manufacturing

Description

Advisor, Machine Learning 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 as an Advisor, Machine Learning on our Data Science team in Bangalore to do the best work of your career and make a profound social impact. What you’ll achieve As an Advisor, Machine Learning, with a strong foundation in Data Science, MLOps, Big Data Engineering, and Generative AI, you’ll play a pivotal role in designing, developing, and deploying intelligent, scalable applications.. You will: You’ll work across the stack—from front-end interfaces to back-end services, distributed data systems, and ML pipelines—bringing innovative, AI-driven solutions to life You’ll also contribute to the fine-tuning, batch inferencing, and operationalization of Large Language Models (LLMs) and other GenAI technologies to solve real-world business problems. 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 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 4+ years of experience in full-stack development with strong proficiency in JavaScript/TypeScript, React/Vue, Node.js, and Python. Hands-on experience with MLOps tools like MLflow, Kubeflow, or SageMaker. Solid understanding of machine learning concepts, model lifecycle, and deployment strategies. Strong experience in Big Data processing using Apache Spark, PySpark, and distributed computation frameworks. Desirable Requirements •Bachelor’s degree with ability to work in a team environment •Solid product/technology/industry knowledge 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: 30-April-26 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. Dell Technologies helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the data era.

Responsibilities

You will design, develop, and deploy intelligent, scalable applications while working across the full stack from front-end interfaces to distributed ML pipelines. Additionally, you will contribute to the operationalization of Large Language Models and GenAI technologies to solve complex business problems.