Machine Learning Engineer-12 months Contract -REMOTE

Title: Machine Learning Engineer
Location: REMOTE
Duration: 12 months Contract

Machine Learning Engineer
About the Role
We are looking for a skilled Machine Learning Engineer to join our team! This role focuses on scaling machine learning systems and building innovative applications using Generative AI. As part of a collaborative, cross-functional team, you will have the opportunity to develop user-facing projects, such as AI-powered quizzes, that bring advanced machine learning to life. Your contributions will be pivotal in enhancing our AI capabilities and creating engaging, impactful solutions.
What You'll Be Doing

• Building, deploying, and scaling machine learning models and applications, especially in the context of Generative AI
• Developing end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other NLP techniques
• Working with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS to drive development
• Collaborating closely with analytics and data teams and business stakeholders to align on requirements and objectives
• Contributing both independently and in team settings, providing regular updates to stakeholders and delivering robust AI solutions

What We're Looking For

• Strong software engineering skills, particularly in Python
• Experience with frameworks and tools relevant to large-scale machine learning, including Databricks, PySpark, and Airflow
• Familiarity with LLMs, RAG, Lang chain, and developing AI applications
• Proficiency in AWS and experience deploying applications on cloud platforms
• Solid understanding of database schema design and querying
• Bachelor's degree in Computer Science

Nice to Have

• Experience building end-to-end applications with LLMs and user-facing projects
• Knowledge of NLP techniques and experience with Generative AI
• Strong problem-solving abilities, excellent communication skills, and the ability to work effectively with minimal guidance in a fully remote environment