AI/Machine Learning Analyst III

Sinch Sweden AB; Malmö kommun; On-site; SEK 489,000 - 670,000; Full time

Job summary

Sinch Sweden AB is seeking a Machine Learning Engineer to own the end-to-end lifecycle of ML models powering our products. You will design, train and deploy production-grade models, and build scalable data pipelines for preprocessing and transformation at scale.

You will implement and optimize algorithms using Python, TensorFlow, PyTorch and Scikit-learn, deploy on AWS, and collaborate closely with Engineering and Product teams from problem definition to delivery.

Qualifications

• Production ML systems deployment experience.
• Strong Python and ML library experience; API dev with FastAPI.
• Experience with large-scale data processing (Databricks/Spark).
• Design and maintain production ML pipelines.
• Understand system design, scalability, reliability.
• Experience with AWS cloud.
• English fluency for communication and docs.

Responsibilities

• Design, train, and deploy production-grade ML models for products.
• Own the full ML lifecycle—from experimentation to deployment and monitoring.
• Build and maintain scalable data pipelines for preprocessing and transformation.
• Ensure ML systems are reliable, observable, and scalable in production.
• Collaborate with Engineering and Product teams from problem to delivery.
• Implement and optimize ML algorithms using Python and frameworks.
• Optimize model and system performance in AWS cloud environments.
• Develop and monitor FastAPI-based services and APIs.
• Promote reproducibility, testing, monitoring, and documentation best practices.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

FastAPI

Databricks

Spark

AWS

Data pipelines

English

Tools

Docker

Kubernetes

Job description

Sinch is pioneering the way the world communicates. More than 150,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s Customer Communications Cloud to power engaging customer experiences through mobile messaging, voice, and email. Whether you need to verify users or craft omnichannel campaigns, Sinch makes it easy. Our AI-infused Super Network, APIs, and applications ensure you can connect with your customers reliably and securely, at every step of their journey. At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”. These values are our foundation!

DESCRIPTION

We are looking for a Machine Learning Engineer to join our team and help build the next generation of communication technology. In this role, you will be responsible for the end-to-end lifecycle of machine learning models that power our products, impacting millions of users.

• Design, train, and deploy production-grade ML models, including text classification and image classification.
• Own the full ML lifecycle—from experimentation and validation to deployment, monitoring, and continuous improvement.
• Build and maintain scalable data pipelines for preprocessing, validation, and transformation of large datasets.
• Ensure ML systems are reliable, observable, and scalable in high-volume production environments.
• Collaborate closely with Engineering and Product teams from problem definition to delivery.
• Implement and optimize ML algorithms using Python and frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Optimize model and system performance in cloud environments, particularly AWS.
• Experience with FastAPI development and monitoring.
• Promote best practices in experimentation, reproducibility, testing, monitoring, and documentation.

REQUIREMENTS

• Experience building and deploying ML systems in production.
• Strong Python skills and hands‑on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch) and API development (FastAPI).
• Experience with large‑scale data processing frameworks (e.g., Databricks, Spark).
• Experience designing and maintaining production ML pipelines.
• Solid understanding of system design, scalability, and reliability.
• Experience with cloud platforms (preferably AWS).
• Strong problem‑solving skills and ability to work autonomously.
• Advanced or fluent English for conversation, writing and documenting code.
• Our corporate language is English, please submit your application in English.

BIG PLUS

• Experience with Natural Language Processing and Image Processing applied to products and experimentation.
• Familiarity with AWS cloud platforms and high volume data practices for efficiency.
• Experience with Docker and Kubernetes.
• Experience working with Lakehouse architectures.
• Global awareness and management/communication skills to explain technical decisions.

The monthly salary for this position is between 43,800 SEK - 60000 SEK. Factors which may affect pay within this range may include skills, education, experience, and other qualifications.

OUR HIRING PROCESS

We are committed to ensuring a recruitment process that is fair, objective, consistent, and inclusive. Our approach includes structured, competency-based interviews designed to evaluate your skills, experience, and qualifications relevant to the role. At times, we may include a data-driven assessment to enhance our hiring success and identify candidates likely to excel. We believe in a two-way process and encourage you to ask questions throughout the journey. If this role isn't what you're looking for, please explore the other opportunities listed on our career page: https://www.sinch.com/careers/ . No matter who you are, we hope you find an exciting path forward - hopefully with us!