Senior Machine Learning Engineer, Parloa
Data Science
Conversational AI platform
Job no longer available
Conversational AI platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To help companies create outstanding customer conversations with AI because people deserve great customer service.
Role
Who you are
- 7+ years of experience as a data scientist or machine learning engineer
- Experience working with NLP, LLMs and information retrieval; experience with LLMs in a production environment is a strong plus
- Strong proficiency in Python, proficiency with SQL
- Experience working with big data technologies (e.g. Spark) and using ML Ops platforms (e.g. MLFlow)
- Experience with owning the ML process end-to-end: translating product requirements into technical requirements, data gathering/transformation and exploration, model productionization, maintenance, monitoring and optimization
- Experience in leading medium-sized technical projects (3-9 months roadmap)
- Strong spoken and written communication skills in English
What the job involves
- As a Senior Machine Learning Engineer - Data Science (f/m/d)*, you will work on Parloa’s machine learning models and related software components that power our generative AI and NLU products
- You will become a member of Parloa’s AI & Data Science Team that owns machine learning models and frameworks that power our product as well as the ML operations platform
- You will work closely with product teams to help them solve customer problems with machine learning and AI
- You will leverage cutting edge technologies to keep sharpening Parloa’s competitive edge to transform the entire customer service industry with AI
- Take ownership of data science and machine learning projects that help us improve our generative AI product suite
- Work closely with product management, design and product engineers to shape requirements and our product vision leveraging AI and LLMs in line with customer needs
- Execute machine learning projects end-to-end: understanding user-facing requirements, data gathering and transformation, exploratory data analysis, model productionization, maintenance and support, continuous improvement
- Shape our ML platform (ML / LLM Ops) by defining the requirements and/or designing and implementing parts of it in collaboration with our data platform and DevOps teams
- Our Tech stack (Data): Microsoft Azure, Python, Kubernetes, Docker, Terraform, MongoDB, Redis (more technologies will added as we build our data and Machine Learning platforms)
Application process
- Recruiter video call
- Hiring Manager Interview
- Technical Stage (Coding Challenge + Machine Learning Case Study)
- Meeting the team
Our take
There is an inherent lack of efficiency in many call centres. This not only creates irritation for customers and negative experiences for agents but, as a result, it harms a company’s reputation whilst generating high costs for businesses.
On a mission to put an end to the madness of a call centre, Berlin-based Parloa offers a conversation AI platform that is changing the way businesses communicate with their customers. Using artificial intelligence, Parloa provides unique solutions for companies that makes their specific service smarter.
The company has attracted impressive funding off the back of tripling revenue growth and a 2023 entry into the US market. This will be invested into scaling its operations across the US and EU and will support its product enhancement initiatives.
Steph
Company Specialist at Welcome to the Jungle
Insights
140% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2024
$67.1m
SERIES B
Mar 2023
$21.8m
SERIES A
Total funding: $93.2m
Company benefits
- Opportunity to build and scale your career at the intersection between sales and product in a dynamic and growing startup on its journey to become the international leader in SaaS platforms for Conversational AI
- Be part of a dynamic, driven and international team with flat hierarchies and collaborative company culture and set new industry standards in customer communication
- Competitive salary
- Training and development budgets which can be used for conferences, attending development courses to ensure continuous professional growth
- Flexible working hours and possibility to take additional vacation days
- A great company culture with regular team events, games night or 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
Company HQ
Prenzlauer Berg, Berlin, Germany
Leadership
Malte Kosub
(CEO)Previous co-founder and Managing Director for both Future of Voice and Wandnotiz.
Salary benchmarks
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