Machine Learning Engineer Job in Berlin -Germany with Visa Sponsorship

Job Position: Machine Learning Engineer Job in Berlin -Germany with Visa Sponsorship
Company: bonial
Location: Berlin, Germany

We are a digital advertising partner for offline businesses – we support retailers in their marketing activities and help them find a new audience. Would you like to join and be a part of digitalisation of retail?

We are seeking an experienced Machine Learning (ML) Engineer with expertise in deploying and scaling machine learning models using technologies such as AWS SageMaker, OpenAI, and AWS Bedrock (Claude, Anthropic). In this role, you will design and implement production-ready machine learning systems and develop reusable templates to streamline the creation of ML and data products. A key focus will be ensuring the scalability, reliability, and efficiency of deployed models while reducing the time spent on managing technical infrastructure.

You will collaborate closely with Data Scientists, Data Engineers, and Analysts to address real business challenges more effectively, allowing the team to concentrate on driving business results.

You will be responsible for:

• Developing and managing machine learning models using AWS SageMaker and AWS Bedrock, with models from OpenAI, Claude, and others.
• Creating reusable templates that simplify and accelerate the deployment of ML and data products, minimizing time spent on infrastructure.
• Building scalable ML pipelines using FastAPI for real-time model serving, along with SQS for asynchronous tasks.
• Optimizing machine learning infrastructure for scalability and ensuring systems can meet real-time business needs.
• Integrating feature stores and leveraging AWS Athena for data exploration, ensuring consistency and reliability in data-driven models.
• Containerizing ML applications using Kubernetes and deploying services in scalable, production environments.
• Collaborating with Data Scientists to translate models into production, focusing on business outcomes and impact.
• Leveraging server-less architectures such as AWS Lambda for lightweight processing, ensuring scalability and efficiency.

What we are looking for:

• At least 2 years of experience in Machine Learning Engineering or similar roles
• Strong proficiency in Python and experience with FastAPI for building high-performance APIs
• Experience with AWS SageMaker, AWS Bedrock, and OpenAI APIs for deploying machine learning models
• Proficiency in cloud platforms (AWS), Kubernetes, and container orchestration
• Knowledge of event-driven architectures with SQS and AWS Lambda
• Experience with MLOps tools for CI/CD, monitoring, and automation
• Familiarity with feature stores and AWS Athena for data exploration and querying
• A degree in Computer Science, Engineering, or related fields.
• Nice to have:
  • Knowledge of LLMs (Large Language Models) like OpenAI’s models or Claude from AWS Bedrock.Familiarity with server-less architecture and Microservices using AWS Lambda.
  • Hands-on experience with model explainability techniques for better transparency and understanding.
  • Experience with AWS Lambda, FastAPI, and SQS for building scalable, server-less, or event-driven ML systems.

What we can offer you:

Diversity – proud to be an equal opportunity workplace where we aim to enable everyone to show up as their full selves. We are committed to equal employment opportunity and to being a safe space regardless of race, religion, sex, sexual orientation, age, disability, gender, gender identity or gender expression.

Development – strong support for your professional development with an internal Learning Hub and a feedback culture to help you identify your strengths and opportunities.

Wellbeing – we believe mental health is as important as being fit. That’s why we’re giving you free access to Nilo, a mental health app. And we can also offer you a corporate pension scheme so you don’t have to worry about your retirement.

Sustainability – together with our Green team, we offer you the opportunity to engage in projects that promote sustainability, environmental development and the impact that we make on our planet.

Flexibility – we offer flexible hours, a hybrid setup, and the option of working from abroad 30 days per year. We offer 28 days of holiday, additionally, you get an extra day for each calendar year (up to 30 days) and other occasions (moving, working on a social project, etc).

Modern office – Zen Rooms where employees can pray, relax or simply have some quiet time; fully equipped gym in the office; and a roof terrace for amazing social events.

Free lunch – whenever you’re at the office, we currently offer you different lunch options – and it’s all on us! Hot and cold drinks, fruit, and other snacks at the office are, of course, also free for our employees.

Social Culture – which encourages people to start conversations, build relationships and participate together in the community through regular team events.

Visa Sponsorship – We are pleased to offer visa sponsorship and professional support throughout the process for candidates relocating from outside of Germany. Additionally, if you relocate together with your family (spouse and/or children), we provide some assistance with their visa applications, supporting you and your loved ones.

How To Apply

If you think you could fit the bill, we’d love to hear from you! “Apply Now“

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