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.