Senior Platform Engineer (AIML) (fmd)

Humanoo; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading wellness tech firm in Berlin is seeking a Senior Platform Engineer (AI / ML) to design and maintain data infrastructure. Join a diverse team and leverage cutting-edge AWS tools to craft scalable solutions. Ideal candidates will have strong SQL and programming skills, and experience with data platforms like Snowflake. This role offers a hybrid working model with robust employee benefits including health insurance, a personal learning budget, and additional vacation days.

Leistungen

Additional health insurance coverage

30 days of remote work allowance

Up to 33 days annual vacation

Subsidy for sports membership

Monthly cashback for expenses

Yearly personal learning budget

Employee Assistance Programme

Qualifikationen

• 3+ years of professional experience as a Data Platform Engineer or similar.
• Strong hands-on experience with Snowflake or similar.
• Experience with monitoring tools ensuring data observability.

Aufgaben

• Manage and optimise data stack for high-performance analytics and AI.
• Leverage AWS cloud services to build scalable data platforms.
• Ensure security and compliance in platform and pipeline designs.

Kenntnisse

Proficiency in SQL

Python

Snowflake

AWS Cloud Services

Data governance

Docker

Kubernetes

Kafka

Tools

AWS

Airflow

SQL

Terraform

Jobbeschreibung

HELLO THERE! PEOPLE AT HUMANOO ARE HAPPY TO GREET YOU!

With a team of over 90 people from over 28 different nationalities Humanoo is building a one-of-a-kind holistic platform that makes people healthier. We are ambitious and goal-oriented and enjoy working by creating a positive atmosphere.

Position: Senior Platform Engineer (AI / ML) (f / m / d)

Location: Berlin Germany (Hybrid 2 days per week)

Start date: ASAP

Your mission in a nutshell: As a Senior Platform Engineer (AI / ML) at Humanoo you will play a key role in designing building and maintaining the data and AI infrastructure that powers our digital health platform. Your work will ensure that our teams have reliable high-quality and timely data to drive insights improve user experiences and help millions of people live healthier lives. You will collaborate closely with Data Product and Engineering teams to develop robust data pipelines optimise storage solutions and support both batch and real-time data processing.

Responsibilities

• Manage and optimise our data stack Snowflake / Airflow for high-performance analytics and AI workloads.
• Leverage AWS cloud services (e.g. S3 SageMaker ECS EMR Glue) to build scalable and cost-efficient data & AI platforms.
• Collaborate with AI Engineers Product Engineers DevOps Engineers and Analysts to provision and optimise data environments for AI model training deployment and monitoring.
• Ensure security privacy compliance and scalability are embedded in all platform and pipeline designs.
• Implement infrastructure as code (e.g. Terraform CloudFormation) to manage platform resources.
• Ensure data quality coherence and reliability across internal tools and user-facing products.
• Monitor troubleshoot and optimise data and AI workflows for performance and reliability.
• Stay up to date with emerging tools and practices in data engineering ML / AI Ops and cloud architecture.
• Bring your own ideas we value curiosity ownership and continuous improvement.

Requirements

• 35 years of professional experience as a Data Platform Engineer MLOps Engineer or similar.
• Proficiency in SQL and at least one programming language (e.g. Python Java or Scala).
• Strong hands-on experience with Snowflake (or similar : BigQuery Redshift etc.) including query optimization and warehouse tuning.
• Comfortable working with streaming frameworks (e.g. Kafka Kinesis).
• Exposure to containerization and orchestration (Docker Kubernetes).
• Skilled at crafting and optimising SQL queries and implementing data schema and governance practices.
• Experience with monitoring tools and ensuring data observability and reliability.
• Solid AWS expertise across data compute and storage services.
• Strong understanding of data governance security privacy and compliance in the cloud.
• Demonstrated experience with MLOps platforms (e.g. SageMaker MLflow Kubeflow).
• Bonus: experience with Airflow data modelling AIOps tooling and practices.

Benefits

INTERVIEW PROCESS

Upon the receipt of your application our Talent Acquisition team will thoroughly evaluate your submission. We endeavour to respond within 3-5 business days. If your application progresses positively you will be invited to participate in our comprehensive selection process which includes the following stages:

• Your first step: A call with a member of our Talent Acquisition team
• Your second step: A call with focus on hard skills and communication with the Head of Data
• Your third step: A focus on your tech skills with a take home Case Study
• Your fourth step: A call to present your Case Study to a representative from the Engineering team and Product team
• Your final step: A value-add call with our Chief Product and Growth Officer

After these interview stages are completed our hiring team will convene for a debrief session to discuss your application. Following this debrief our Talent Acquisition Partner will contact you to provide feedback and communicate the final decision regarding your candidacy. We value your interest in our organisation and appreciate your participation in our selection process.

What we offer

A sneak peek into your benefits :

• Additional health insurance coverage for 900 EUR per year
• 30 days of remote work allowance
• Up to 33 days annual vacation allowance (28 base days yearly tenure bonus up to 3 days 2 days for using the Humanoo app!)
• Subsidy for your UrbanSportsClub membership
• 70 EUR monthly cashback to cover daily expenses
• 500 EUR yearly personal learning and development budget
• Self-development days allowance (workshops conferences training sessions etc.)
• Team events and company events
• Referral bonus for employees
• Corporate benefits
• Humanoo for Humanoos!
• Employee Assistance Programme (EAP) for mental well-being

Please note: our offices close over the Christmas and New Year period for approximately two weeks. We gift the 24th and 31st December as extra vacation days and any additional non-public holiday days during this time will be taken from your annual leave.

What we stand for

• Customer First: We create meaningful human connections to improve outcomes for our customers and our communities powered by our world-leading technology collective ingenuity and culture of caring.
• Embrace Change: We challenge the status quo experimenting and taking calculated risks to differentiate ourselves from our peers and deliver consistently leading results.
• Grow Together: We welcome everyone to bring their whole self to work appreciating our uniqueness and always standing together as one team.

HUMANOO is an automated Digital Corporate Wellness Solution for corporations and insurance worldwide that helps people lead healthier lives.

Humanoo helps users improve physical and mental health by offering customised on-demand programmes for fitness yoga mindfulness sleep and nutrition.

Humanoos pioneering vision allows users to be rewarded for health activity through monetary and non-monetary rewards leading to sustained engagement and study-based health improvement.

More than 1500 companies in over 10 countries are already successfully using Humanoo to make their employees and clients healthier and more productive. TK Coca-Cola Axel Springer Korian Nürnberger Versicherung and CSS are only some companies using Humanoo.

Key Skills

Laboratory Experience,Vendor Management,Design Controls,C / C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development

Employment Type: Employee

Experience: years

Vacancy: 1