Cloud Engineer with focus on AI/ML Optimizations

Requirements

• Excellent problem-solving skills, strong communication, and a proactive, collaborative approach, growing in fast-paced environments.
• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
• Experience with JavaScript or Python and proficiency with modern frameworks.
• Proven expertise in crafting and developing scalable and resilient applications using concepts like CDNs, Cache, Server Side Rendering, Lambda functions, Containers, Queues, Workers, APIs, all in Cloud Platforms(Azure, AWS).
• Experience in working with SQL & NoSQL Databases.

Nice to Haves

• Experience in machine learning, data science or experience working with Generative AI models.
• Proficiency in ML frameworks like PyTorch and TensorFlow.
• Proven experience with Large Language Models (e.g. GPT, BERT) and prompt engineering.
• Ability to quickly generate working code with a Generative AI coding copilot.
• Expertise in fine-tuning and deploying AI models in production environments.

What You'll Be Doing

• Discover success metrics for customers by analyzing meaningful data from various sources.
• Turn your findings into solid hypotheses that will be meaningful at wider customer scale.
• Manipulate and build services that integrate traditional ML and generative AI to extract insights from large data sets.
• Design and implement prompt engineering strategies to optimize model performance.
• Utilize Retrieval-Augmented Generation (RAG) and related techniques to enhance model output.
• Collaborate with cross-functional teams to identify and address AI-related challenges.

Perks and Benefits

• Bachelor’s or equivalent experience in CS or related field.
• 5+ years of proven experience working with the above-mentioned tech stack.
• Portfolio of work (GitHub, live projects).