ML Engineer (Nlp)
SalmonManila, AR
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Overview
Schedule
Full-time
Career level
Senior-level
Job Description
We're looking for an AI Engineer to join our AI and Data team, where you'll build and ship AI-powered products that directly improve customer service operations - from support chatbots and voice assistants to automated call analysis pipelines.
Your Future Tasks
- Design, develop, and maintain AI-powered chatbots for customer support, handling real customer queries at scale
- Build and improve voice processing pipelines - automatic speech recognition (ASR), text-to-speech (TTS)
- Develop agent-based systems using frameworks like Pydantic-AI or LangChain to automate customer service workflows
- Integrate LLMs into production services for tasks such as script compliance checking, call summarization, and intent classification
- Build and operate microservices that communicate via Kafka, expose REST APIs, and store artifacts in S3
- Experiment with prompt engineering approaches, evaluate model outputs against labeled data, and iterate on accuracy metrics
- Collaborate with the customer service and collections teams to understand business processes and translate them into AI solutions
- Own your products end-to-end - from research and prototyping through deployment, monitoring, and measuring economic impact
What We Expect
- Strong Python skills - this is our primary language for AI/ML services
- Basic understanding of machine learning concepts and hands-on experience with ML frameworks
- Experience with NLP: text classification, named entity recognition, semantic similarity, or related tasks
- Familiarity with LLM APIs (OpenAI, Anthropic, or similar) and prompt engineering techniques
- Experience building and deploying backend services (REST APIs, async processing, message queues)
- Comfort working with AWS services (S3, SageMaker, RDS, EKS)
- Understanding of CI/CD practices and containerized deployments
- Ability to work independently, move fast, and ship iteratively - our team values startup speed and MVP-first thinking
Nice to Have
- Experience with agent frameworks such as Pydantic-AI, LangChain, or similar orchestration tools
- Hands-on experience with ASR, TTS, or other voice/speech technologies
- Experience with GitOps workflows (Terraform, Flux) for infrastructure management
- Background in building customer-facing chatbots or voice assistants
- Familiarity with Kafka-based event-driven architectures
- Experience with multilingual NLP
- Knowledge of monitoring and observability tools (Grafana, Splunk)
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FAQs About ML Engineer (Nlp) Jobs at Salmon
What is the work location for this position at Salmon?
This job at Salmon is located in Manila, AR, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Salmon?
Employer has not shared pay details for this role.
What employment applies to this position at Salmon?
Salmon lists this role as a Full-time position.
What experience level is required for this role at Salmon?
Salmon is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Salmon?
You can apply for this role at Salmon either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.