Machine Learning Engineer

Description

DESCRIPTION

Join our innovative IT company as a Senior / Lead Data Engineer and take a leading role in developing a groundbreaking GenAI platform.

This platform is designed to perform semantic analysis on earnings call transcripts using state-of-the-art technologies.

If you are passionate about pushing the boundaries of machine learning and natural language processing, we invite you to bring your expertise and vision to our team and help shape the future of financial analytics.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Responsibilities

• Lead the design and development of the GenAI Proof of Concept (POC) using Amazon Bedrock, Amazon SageMaker, and Amazon S3
• Implement natural language processing (NLP) and deep learning techniques to analyze large sets of financial text data
• Develop algorithms for sentiment analysis, prompt engineering, and model evaluation tailored to NLP
• Collaborate with the AWS ProServe team and HBS stakeholders to understand requirements and deliver solutions that meet their needs
• Present technical findings and progress to non-technical stakeholders, ensuring clear and effective communication
• Ensure the successful deployment of the model and monitor its performance, making necessary adjustments based on feedback and results

Requirements

Nice to Have

Technologies

We Offer