ML-Ops Engineer

WHAT WE DO

We are an exciting new start-up creating the future of manufacturing!

The Manufacturing industry is fundamental to our daily lives. Everything we touch, use, and consume comes from a factory in one form or another. Recent global developments such as the COVID crisis and the Ukrainian-Russia war have brought to light how fragile the supply chain can be. This requires manufacturing companies to be able to react faster to change and transform their operations towards more flexibility. Blue-collar workers are indispensable in this transformation. Unlike robots, humans can learn new and complex tasks very quickly. Especially tasks like assembling products or repairing machines won’t be automated by robots for a long, long time. 

Deltia is on a mission to supercharge blue-collar workers, assisting them in their daily tasks and unlocking manual labor's full productivity and flexibility potential. We firmly believe that humans play a crucial role in factories. Robots won't take over everything but will instead enhance workers' abilities.

Through computer vision and artificial intelligence, we will revolutionize manufacturing by giving workers the tools they need to increase their productivity beyond their current analog limits through tracking, analyzing, and improving manual processes. We are focusing first on assembly processes but will later extend this to more processes such as material consignment or machine repair activities. We will impact society as a whole by making products more affordable and making more efficient use of our planet's resources.

We are financially backed by Merantix, the world’s first AI Venture Studio. Merantix brings some of the world’s most talented engineers, scientists, and entrepreneurs (Yale, Oxford, and Harvard alumni), to tackle some of the world’s most challenging problems, such as fighting against breast cancer, developing autonomous vehicles, and making the finance industry more sustainable. Based on the Berlin AI Campus, the studio has founded seven ventures to date and employs more than 150 people between its studio and its ventures. You have the opportunity to become part of this ecosystem and mingle with AI and business experts from various industries.

YOUR ROLE

This is a remote position. You will be able to work anywhere within a +/- 2 hours time window of Germany’s time zone.

You will be one of our first engineers and will have the opportunity to apply artificial intelligence to the manufacturing industry. As an early engineer, you will have a major influence on the development of our product. Additionally, you will have the opportunity to define and architect an entirely new platform from scratch.

You will not be bound by legacy technologies and slow processes. As our venture grows, you will grow too and have an opportunity to expand our engineering team and create an engineering culture. This role is for entrepreneurial-minded engineers who want to be an early part of a fast-growing startup. Our fast-growing nature also means you will receive increasingly more responsibilities. You’d be required to take the lead on the major projects and support Junior Back-End/ ML-Ops engineers with their developments. 

Your role will include:

• Shape the core product and its tech stack from the ground up.
• Participate in the overall design, architecture, and integration of our data systems.
• Build, maintain and run secure cloud-native data collection, ETL and machine learning pipelines.
• Provide APIs to build user-facing applications on top of our data backends.
• Plan, gather requirements, collaborate and communicate with stakeholders.
• Be a key part of the technical decision-making process.
• Mentor other engineers and strive for best practices.

YOUR PROFILE

You'll play a critical role in defining and driving the tech stack, so if you think you'd be great at this job, even if you don't hit all these requirements, please still apply! 

Essentials:

• 3+ years experience as an ML Ops engineer or backend engineer with a focus on data pipelines.
• Fluency in python or an equivalent language for modern backend development;
• Experience with AWS services such as Kinesis, Kafka, Lambda, etc.
• Strong experience with industrial-grade relational and non-relational data storage (e.g. Postgres SQL, GraphQL) and associated technologies (e.g. Elastic Search).
• Strong experience in working with video streams.
• Strong experience with Cloud architectures (e.g. AWS, GCP).
• Experience with API frameworks (e.g. FastAPI, Django).
• Experience with Deployment technologies (e.g. Docker, Kubernetes).
• Comfortable with git and building CI/CD pipelines (e.g. github, github Actions).
• AI and machine learning technologies know-how or interest(e.g. Tensorflow, Pytorch).
• Experience with Agile Methodologies and working in Sprints.
• Curiosity, pragmatism, fast learner and ability to bring a new perspective to our team.
• Fluency in English (German not required).

Nice to have:

• Experience or an interest with machine learning deployment and MLOPs frameworks (e.g. MLFlow, W&B, Seldon Core).
• Background or an interest in Computer Vision technologies (e.g. OpenCV, Jupyter, YOLOv6, etc.)
• Experience with Nvidia Hardware (e.g. NVIDIA Jetson Orin, NVIDIA Jetson Xavier, etc.)
• Background in DevOps on Cloud architectures (e.g. AWS, GCP).

WHAT WE OFFER

• A competitive salary + stock options
• A Brand new office situated on the AI Campus in Berlin where we closely cooperate with other exciting AI ventures - although we work remotely, you can still work from the campus if you wish
• We offer Visa Sponsorship
• Hardware allowance. We give you support to have all the equipment you would need to thrive on your job
• International Team: Within our current team we have more than 10 nationalities and counting   
• Engaging Topics and Excellence: Merantix offers unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs
• Ethics: We are committed to developing ethical AI software
• Dynamic working culture: We hold weekly and monthly events around AI Innovation and Implementation. We have a very flat hierarchy, open 360° feedback, and flexible working hours
• Learning and Development . Annual learning and development budget to attend conferences or purchase educational resources to develop additional skills further