Senior Business Analyst - AI with Data Types

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.

We are seeking a Senior Business Analyst - AI with Data Types to join our dynamic team and play a crucial role in the development and optimization of AI products. This role requires a strategic thinker with expertise in business analysis, stakeholder management and data annotation workflows.

Responsibilities

• Facilitate requirement gathering sessions to understand business needs and translate them into actionable deliverables

• Develop BRD and FRD documents in collaboration with stakeholders and cross-functional teams

• Manage and enhance the annotation process ensuring alignment with AI and machine learning project goals

• Track project progress, identify issues and recommend solutions to optimize workflows

• Ensure the accuracy and quality of annotated datasets for AI model training

• Work alongside subject matter experts, data scientists and engineers to define annotation standards and requirements

• Lead stakeholder management including documentation reviews, feedback incorporation and communication of project updates

• Leverage in-depth knowledge of AI technologies such as LLM, RAG and various data types to guide project development

• Maintain thorough documentation of processes, tool configurations and quality control measures

• Participate in Agile processes such as sprint planning and retrospectives

Requirements

• 6-9 years of experience in business analysis, stakeholder management and working with AI products

• Knowledge of data annotation tools such as Label Studio, CVAT or similar platforms

• Understanding of AI and machine learning workflows, data types and dataset preparation

• Skills in developing and managing BRD, FRD and other documentation artifacts

• Competency in Agile methodologies and project management environments

• Expertise in managing cross-functional teams and facilitating effective collaboration

• Background in working with data annotation workflows for time-series, images, videos or text

Nice to have

• Familiarity with scripting languages like Python to automate repetitive annotation tasks

• Background in creating datasets for training machine learning models

• Showcase of flexible adaptation to new tools and emerging AI technologies

We offer

• Opportunity to work on technical challenges that may impact across geographies

• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

• Opportunity to share your ideas on international platforms

• Sponsored Tech Talks & Hackathons

• Unlimited access to Linked

In learning solutions

• Possibility to relocate to any EPAM office for short and long-term projects

• Focused individual development

• Benefit package:

• Health benefits

• Retirement benefits

• Paid time off

• Flexible benefits

• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)