Job Description
Business Overview
The team partners closely with designers who create promotional assets (e.g., show posters and marketing graphics).
Their responsibility is to adapt and distribute these assets across multiple digital platforms, ensuring they meet various aspect ratio and format requirements (TikTok, Instagram, web, mobile, etc.).
Generative AI is leveraged to extend and create background imagery, enabling seamless resizing and repurposing of creative assets across channels.
A key business objective is increasing content velocity by accelerating the production and distribution of marketing content.
Technical Environment
Primary cloud platform: Amazon Web Services (AWS).
Strong understanding of AWS services and architecture is preferred.
Development work is primarily conducted in Python.
Source control is managed through GitHub, with code deployments utilizing CI/CD pipelines.
Project Scope
The project focuses on an image-processing pipeline rather than model training.
The team receives image assets and processes them through a series of automated workflows designed to assess image quality and suitability.
Key areas of focus include:
Image evaluation frameworks
Human-in-the-Loop (HITL) validation processes
Automated identification of high-quality versus low-quality image outputs
Evaluation and monitoring of generated content throughout the pipeline
The team is leveraging APIs and metadata extraction techniques to analyze image layers and supporting asset information.
AI & Evaluation Strategy
The organization has a mature AI evaluation framework in place.
Significant emphasis is placed on evaluating AI-generated outputs and measuring performance against established quality standards.
Similar evaluation methodologies are used for LLM-generated content, helping reduce hallucinations and improve output reliability.
The focus is on operationalizing and validating AI outputs rather than developing foundational models.
Ways of Working
The team follows Agile/Scrum methodologies.
Work is managed through user stories and sprint-based delivery cycles.
Team members are expected to collaborate within an established engineering workflow, including code reviews, GitHub repositories, testing, and deployment processes.
RESPONSIBILITIES
• Provides, guides and uses professional concepts in developing resolution to critical issues.
• Train and fine-tune models using LoRA and other parameter-efficient techniques
• Design, train, and evaluate multimodal models from scratch
• Apply reinforcement learning techniques to model development and optimization
• Experience with audio/speech ML tasks such as speaker diarization and speaker identification
• Deploy, debug, and maintain distributed systems in cloud environments
• Optimize inference pipelines using tools and techniques such as TensorRT, quantization, and pruning
• Monitor and maintain models in production, including handling data drift and system failures
• Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets
• Comfortable working with a gated, continuous deployment workflow that requires unit, component, and integration tests
• Applies extensive knowledge of theories, practices and design matters.
• Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
• Exercise a wide latitude in determining objectives and approaches to critical assignments.
• Knowledge of media management strategies and distribution workflows
• Work closely with Product and Operations to design and optimize workflows
• Apply broad expertise and knowledge in highly specialized fields or several related disciplines
• Contributes to development of company objectives across and principles to achieve goals
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
- Strong experience with Python development.
- Strong AWS knowledge and cloud-based application experience.
- Familiarity with image-processing pipelines and AI-enabled workflows.
- Understanding of AI evaluation frameworks, quality assessment, and Human-in-the-Loop processes.
- Experience working in Agile/Scrum environments and contributing to CI/CD deployment practices.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.