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Machine Learning Engineer Consultant

Machine Learning Engineer Consultant

Posted 1 day ago

Job Description

Machine Learning Engineer Consultant

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 a Machine Learning Engineer Consultant on our Machine Learning Engineer team in Bangalore to do the best work of your career and make a profound social impact

What you’ll achieve

As a Machine Learning Engineer Consultant you will work closely with cross-functional teams including product managers, data engineers, and DevOps.

You Will:

Build and maintain full‑stack applications that integrate advanced ML models, large‑scale data pipelines, and real‑time/streaming data flows.
Collaborate with data scientists to fine‑tune and productionize LLMs and other GenAI models using MLOps best practices.
Design and implement highly scalable APIs and microservices to support AI/ML workloads and distributed batch inferencing.
Develop and orchestrate Big Data workflows using Apache Spark, PySpark, Kafka, Airflow, and related technologies.

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:

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.
Experience building and managing Kafka-based streaming pipelines and event-driven architectures.
Solid understanding of Airflow or similar workflow orchestration tools for ETL/ELT and ML pipelines.

Desirable Requirements

•6 to 8 years of related experience
•Bachelor’s degree

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-May-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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