Job Description

As a Machine Learning Engineer with a strong foundation in Data Science, MLOps, and Generative AI, you'll play a pivotal role in designing, developing, and deploying intelligent, scalable applications. You'll work across the stack--from front-end interfaces to back-end services and ML pipelines--bringing innovative, AI-driven solutions to life. You'll also contribute to the fine-tuning and operationalization of Large Language Models (LLMs) and other GenAI technologies to solve real-world business problems.


Join us as a

Senior Advisor

on our

Machine Learning

team in

Bangalore

to do the best work of your career and make a profound social impact.

What you'll achieve

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.

You will:

Build and maintainfull-stack applications that integrate advanced ML models and real-time data pipelines. Collaborate with data scientists to fine-tune and productionize LLMs and other GenAI models using MLOps best practices. Design and implement scalable APIs and microservices to support AI/ML workloads. Develop intuitive front-end interfaces for data-driven applications using modern frameworks. Automate the deployment, monitoring, and performance tuning of ML models in production environments and Ensure robust CI/CD pipelines and containerized deployments using Docker and Kubernetes.

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

8+ years of experience in full-stack development with hands-on experience in MLOps tools like MLflow, Kubeflow, or SageMaker. Solid understanding of machine learning concepts, model lifecycle, and deployment strategies. and experience with cloud platforms (AWS, Azure, GCP) and container orchestration using Docker and Kubernetes. Experience in fine-tuning and deploying LLMs (e.g., GPT, LLaMA, Falcon) for domain-specific use cases. Strong knowledge of RESTful APIs, microservices architecture, and SQL/NoSQL databases.

Desired Requirements

Experience with

Generative AI frameworks

(e.g., LangChain, Hugging Face Transformers, OpenAI APIs). Familiarity with

data streaming technologies

like Apache Kafka or Spark Streaming and Exposure to

big data ecosystems

(Hadoop, Hive, etc.).

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: 20th Nov 2025

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.

Job ID:

R280869