Dell Senior Advisor - Machine Learning Engineer 

India, Karnataka, Bengaluru 

232216316

What you’ll achieve

The AI ML Ops Engineer will play a critical role in harnessing the power of our AI initiatives. This role involves a combination of responsibilities from the realms of data science ( ML and DL ), software engineering, and operations. The individual will work on developing, deploying, maintaining, and innovating AI/ML systems in production. The role demands expertise in Generative AI models, Large Language Models (LLMs), and container orchestration technologies like Docker and Kubernetes. An in-depth understanding ofprinciples and practices is essential, along with a capacity to thrive in a fast-paced, dynamic environment. The AI ML Ops Engineer will also be required to take part in strategic planning, roadmap development, and technical leadership.

You will:

Develop, deploy, and maintain AI/ML models into production environment.

Apply knowledge of machine learning, deep learning, statistics, optimization, software engineering, and data engineering to produce code for testing, operationalizing, and governing software-integrated machine learning models.

(Machine Learning Operations) strategies to automate and enhance the ML lifecycle.

Essential Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, AI, Machine Learning, or a related field.

•7- 10years of experience as an AI/ML Ops Engineer or similar role in an AI/ML environment.

In-depth understanding of Generative AI models and Large Language Models (LLMs).

Solid background in Data Science and Software Engineering.

Experience with containerization technologies like Docker and orchestration systems like Kubernetes.

Proficiency in implementingprocesses, methodologies, and tools.

Desirable Requirements

Certifications in AI, ML, Kubernetes, or cloud environments are a plus.

Experience with CI/CD pipelines, Jenkins, Git, or similar tools..