Machine Learning Engineer II
Sinch Sweden ABSammanfattning
Sinch is seeking a Machine Learning Engineer to enhance its communication technology. This role involves managing the complete lifecycle of machine learning models that serve millions of users, including design, training, deployment, and monitoring. The position is based in a collaborative environment, working closely with Engineering and Product teams, and requires expertise in Python and ML frameworks. The company values innovation and teamwork, making it an appealing opportunity for those inJobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Det här erbjuder vi
Opportunity to work with leading companies and technologies in the communication sector.Collaborative and innovative work environment.Focus on professional growth and development.
Ansök senast: 2026-10-01
Publicerad: 2026-09-15
Ansökningsperioden har avslutats
Beskrivning
ABOUT SINCH
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.
Salary:
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!
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.
Salary:
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!
Ansök till tjänsten
Machine Learning Engineer II
Ansökningsperioden har avslutats
OM FÖRETAGET
Sinch Sweden AB
