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
QualificationsQUALIFICATIONS/REQUIREMENTS
· Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
· 5+ years working with the AWS cloud
· 1+ years working with the Azure cloud
· Strong knowledge of industry trends and best practices
· Strong experience with the C4 model and other traditional design artifacts
· Experience working in an Agile environment
DESIRED CHARACTERISTICS
· 7+ years of a programming languages such as Java, Golang, Python, JavaScript
· Knowledge with broadcast production or video content management systems
· Familiarity with client-side web technologies (React, Angular, JavaScript, CSS, HTML)
· Familiarity with continuous integration/deployment practices
· Docker, Kubernetes experience a plus
· BS in CS, EE or equivalent experience required
Additional InformationAll your information will be kept confidential according to EEO guidelines.
EEOC and Veteran Documentation
During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.
At times, government agencies require periodic reports from employers on the sex, ethnicity, handicap, veteran and other protected status of employees. The purpose of this Administrative EEO Record is for statistical analysis only and is used to comply with government record keeping, reporting, and other legal requirements. Periodic reports are made to the government on the following information. The completion of the Administrative EEO record is optional. If you choose to volunteer the requested information, please note that all
Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.
Please note: YOUR COOPERATION IS VOLUNTARY. INCLUSION OR EXCLUSION OF ANY DATA WILL NOT AFFECT ANY EMPLOYMENT DECISION.
Skills Required
- Expert experience with digital and broadcast production operations and workflows.
- 5+ years working with the AWS cloud.
- 1+ years working with the Azure cloud.
- Strong experience with the C4 model and other traditional design artifacts.
- Experience designing, training, and evaluating multimodal models from scratch.
- Experience training and fine-tuning models using LoRA and parameter-efficient techniques.
- Experience applying reinforcement learning techniques to model development and optimization.
- Experience with audio/speech ML tasks such as speaker diarization and speaker identification.
- Ability to deploy, debug, and maintain distributed systems in cloud environments.
- Experience optimizing inference pipelines using TensorRT, quantization, and pruning.
- Experience monitoring and maintaining models in production, handling data drift and failures.
- Comfortable with gated continuous deployment workflows requiring unit, component, and integration tests.
- Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets.
- Experience working in an Agile environment.
- BS in Computer Science, Electrical Engineering, or equivalent experience.
- 7+ years with programming languages such as Java, Golang, Python, JavaScript.
- Familiarity with client-side web technologies (React, Angular, JavaScript, CSS, HTML).
- Familiarity with continuous integration/deployment practices.
- Docker and Kubernetes experience.
- Knowledge with broadcast production or video content management systems.
Sutherland Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.
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Flexible Benefits — Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
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Leave & Time Off Breadth — Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
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Strong & Reliable Incentives — Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.
Sutherland Insights
What We Do
We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman







