Senior Machine Learning Engineer - Language Capabilities (f/m/d)*
Parloa
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Benefits dieser Stelle
Zusammenfassung
Qualifikationen
- 7+ years of experience as a machine learning engineer.
- Strong engineering background with production machine learning systems.
- Experience with STT/TTS systems is a strong plus.
Aufgaben
- Execute machine learning projects end-to-end.
- Own and maintain backend services for speech processing.
- Build and improve model finetuning platform and data processing pipelines.
Kenntnisse
Ausbildung
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As a Senior Machine Learning Engineer - Language Capabilities (f/m/d)*, you will build, scale, and improve Parloa’s platform to evaluate and fine-tune machine learning models required to extend Parloa to new languages. You will take ownership of critical backend services and machine learning systems in speech-to-text, text-to-speech, and NLP across multiple languages.
As a part of the Language Capabilities team, you will ensure our production systems are robust, scalable, and continuously improving. You will leverage cutting-edge technologies to maintain Parloa's competitive edge in transforming the customer service industry with AI.
YOUR MISSION:
As a Senior Machine Learning Engineer - Language Capabilities (f/m/d)*, you will build, scale, and improve Parloa’s platform to evaluate and fine-tune machine learning models required to extend Parloa to new languages. You will take ownership of critical backend services and machine learning systems in speech-to-text, text-to-speech, and NLP across multiple languages.
As a part of the Language Capabilities team, you will ensure our production systems are robust, scalable, and continuously improving. You will leverage cutting-edge technologies to maintain Parloa's competitive edge in transforming the customer service industry with AI.
IN THIS ROLE, YOU WILL:- Execute machine learning projects end-to-end, including model fine-tuning, productionization, monitoring, maintenance, and continuous optimization.
- Own and maintain critical backend services and infrastructure for speech processing, service orchestration, production monitoring, and observability solutions to ensure high availability and performance.
- Build and improve our model finetuning platform and data processing pipelines from dataset preparation and provider integration to model deployment, endpoint management, audio processing, transcription, evaluation, and synthetic data generation.
- Work closely with your Engineering Manager, team members, and data platform engineers to shape technical architecture decisions for international scalability while ensuring security, scalability, availability, best practices, and engineering, as well as ML excellence.
Our Tech Stack: Microsoft Azure, STT & TTS models and service providers, Python, Kubernetes, Terraform, Docker, Kafka, Databricks, Preset, DataDog, GitHub Actions, Helm, MLflow, git
- 7+ years of experience as a machine learning engineer
- Strong engineering background with end-to-end ownership experience of production machine learning systems and operations
- Strong proficiency in Python and experience with modern ML frameworks and libraries
- Experience working with text data; experience working with audio data and STT/TTS systems is a strong plus
- Broad cloud-native expertise including containerization, orchestration, IaC, deployment tools, cloud data platforms (e.g., Databricks), and observability systems
- Experience with MLOps practices, including experiment tracking, model versioning, and automated deployment
- Strong understanding of backend service architecture, API design, and microservices patterns, with hands-on experience in building real-time systems and managing high-throughput production workloads
- Be part of a dynamic, driven team of +40 nationalities with flat hierarchies and a collaborative company culture
- Flexible office policy - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office
- Attractive compensation package
- Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth
- Flexible working hours, 28 vacation days and workation opportunities
- Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass or Urban Sport Club.
- We cover the cost of a monthly Deutschland train ticket.
- Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands.
- Regular team events, game nights, and other social activities
- And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks
- Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity
Recruiter video call → Hiring Manager Interview → Technical Stage (Coding Session) + Machine Learning (Case Study) → Meeting the team
Why Parloa?Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York.
When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey.
Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionEngineering and Information Technology
- IndustriesTechnology, Information and Internet
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