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职位Dell

Advisor, Machine Learning

Dell

Advisor, Machine Learning

Dell

Bangalore, India

·

On-site

·

Full-time

·

1w ago

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 Sage Maker.

  • Solid understanding of machine learning concepts, model lifecycle, and deployment strategies.

  • Strong experience in Big Data processing using Apache Spark, Py Spark, 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.

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关于Dell

Dell

Dell

Public

Dell Inc., formerly Dell Computer Corporation, is an American technology company that develops, sells, repairs, and supports personal computers (PCs), servers, data storage devices, network switches, software, computer peripherals including printers and webcams among other products and services.

10,001+

员工数

Round Rock

总部位置

$56B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

3.0

企业文化

4.1

职业发展

2.8

管理层

3.3

65%

推荐给朋友

优点

Flexible work arrangements and remote options

Inclusive and diverse environment

Good team collaboration

缺点

Work-life balance challenges and high pressure

Limited career advancement opportunities

Management and communication issues

薪资范围

5个数据点

Unknown

Unknown · Full Time (estimated from internship data)

1份报告

$114,000

年薪总额

基本工资

$114,000

股票

-

奖金

-

$114,000

$114,000

面试经验

2次面试

难度

3.0

/ 5

时长

14-28周

录用率

50%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience