What are the responsibilities and job description for the Senior AI/ML Engineer, Audio and NLP : Hybrid : Washington, DC position at Apetan Consulting LLC?
Job Title: Senior AI/ML Engineer, Audio and NLP
Location: Hybrid Washington, DC
Duration: Full Time
Salary Range: $160k - $200k
We are looking for a Senior AI/ML Engineer to develop audio, speech, transcription, and natural language processing capabilities for advanced AI-enabled applications. This role will focus on model development, fine-tuning, evaluation, and production inference workflows.
About The Role
As a Senior AI/ML Engineer, you will work on audio event detection, speech recognition, transcription, NLP models, and related production pipelines. You should be comfortable taking a capability from data preparation through training, testing, evaluation, deployment support, and performance monitoring.
This role is ideal for an engineer with strong Python experience who understands applied machine learning, model evaluation, and production inference. Experience with lower-level or object-oriented languages such as C or Go is a plus.
Responsibilities
Location: Hybrid Washington, DC
Duration: Full Time
Salary Range: $160k - $200k
We are looking for a Senior AI/ML Engineer to develop audio, speech, transcription, and natural language processing capabilities for advanced AI-enabled applications. This role will focus on model development, fine-tuning, evaluation, and production inference workflows.
About The Role
As a Senior AI/ML Engineer, you will work on audio event detection, speech recognition, transcription, NLP models, and related production pipelines. You should be comfortable taking a capability from data preparation through training, testing, evaluation, deployment support, and performance monitoring.
This role is ideal for an engineer with strong Python experience who understands applied machine learning, model evaluation, and production inference. Experience with lower-level or object-oriented languages such as C or Go is a plus.
Responsibilities
- Develop, fine-tune, test, and evaluate audio, speech, transcription, and NLP models.
- Work with Whisper or comparable speech models, as well as broader NLP model families.
- Build and maintain data pipelines and inference pipelines for model-driven capabilities.
- Define metrics and evaluation methods for each model, algorithm, or pipeline delivered.
- Support audio event detection, speech detection, transcription, parsing, and related workflows.
- Analyze model quality, latency, robustness, failure modes, and operational limitations.
- Collaborate with backend, data, product, and AI/ML teams to integrate capabilities into the broader platform.
- Document model behavior, evaluation results, limitations, and operational considerations.
- 5 years of professional software engineering, machine learning, data science, or applied AI experience.
- Strong proficiency in Python and modern machine learning frameworks.
- Experience with ASR, audio ML, speech processing, NLP, transcription systems, or related applied ML domains.
- Experience training, fine-tuning, testing, and evaluating machine learning models.
- Experience building data pipelines, inference pipelines, or model-serving workflows.
- Ability to define meaningful metrics and evaluation approaches for model performance and system behavior.
- Strong understanding of data quality, model performance tradeoffs, and production ML practices.
- Health, dental, and vision benefits for eligible employees.
- Flexible work environment.
- Opportunity to work on advanced computer vision, natural language processing, AI, optimization, and backend infrastructure problems.
- High-impact role with meaningful ownership over technical direction.
- Collaborative team environment with direct visibility into product and company strategy.
Salary : $160,000 - $200,000