AIML Engineering Intern

About the Role

We're looking for an AIML Engineering Intern to join our Pune team and play a crucial role in establishing production-grade LLM operations for our cutting-edge marketing platform. You’ll participate in designing and maintaining scalable infrastructure for our LLM systems, as well as developing robust frameworks for prompt management. As an early member of our engineering team, you’ll learn how to build a scalable platform.

Key Responsibilities

• Build and optimize backend services using Python and FastAPI.
• Develop prompt engineering and evaluation systems.
• Implement monitoring for ML system performance.
• Improve prompt accuracy using feedback mechanism.
• Make data processing efficient.
• Ensure code quality through testing, and best practices.

Required Qualifications

• B.Tech/B.E. in Computer Science, IT, or related field from a reputed institute.
• 1+ years of software development, 1+ years of MLOps / LLMOps experience.
• Knowledge of infrastructure as a code for LLMOps pipelines.
• Knowledge of with Azure Cloud, AI, ML, Datapipeline services.
• Solid understanding of ML algorithms and solutions.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills in English.
• Willing to work U.S. East Coast hours.

Desired Skills

• Advanced degree in Data Science, Machine Learning, or Computer Science.
• Knowledge of productionizing GenerativeAI systems.
• Knowledge of optimizing ML-based systems.
• Familiarity with Bicep, Terraform, or related infrastructure automation tools.
• Proficiency in Azure and Python.

Why Join MarketEngine.ai?

• Be part of a high-growth Silicon-Valley startup revolutionizing SMB marketing technology.
• Collaborate with industry leaders in AI/ML and marketing experts.
• Competitive salary package (Best in industry).
• Flexible work arrangements and a dynamic, intellectually stimulating environment.
• Opportunity to shape the future of demand generation technology for startups and SMBs.

Selection Process

• Resume shortlisting
• Technical round
• Problem-solving round focused on algorithms and system design
• Final interview with company leadership