Newsoft

We are looking for a Senior AI/Machine Learning Engineer to join a healthcare project from the Netherlands focused on simplifying preparation for orthopedic surgeries. The product uses artificial intelligence to automatically analyze 3D images of the skeletal system and support surgical planning. In this role, you will focus on continuing and improving the X3D pipeline (X-ray to 3D bone reconstruction) and integrating it into the web application.
 

Requirements:
— 5+ years of commercial experience in Machine Learning/AI engineering.
— Proven commercial experience working on medical imaging or healthcare-related projects is a must.
— Strong experience with PyTorch and deep learning model training, evaluation, and optimization.
— Solid background in medical image analysis (CT, X-ray) and/or 3D computer vision.
— Strong understanding of image processing fundamentals, including registration, segmentation, and data augmentation techniques.
— Familiarity with GAN architectures (Pix2Pix, CycleGAN) and encoder-decoder networks.
— Experience working with medical imaging file formats (NIfTI, DICOM).
— Ability to read and implement techniques from research papers.
— Proficiency in Python and scientific computing libraries (NumPy, SciPy, SimpleITK or similar).
— Self-directed and independent working style with the ability to effectively collaborate under technical guidance.
— Upper-Intermediate or higher level of English (spoken and written).

Nice to have:
— Experience with 3D shape reconstruction or 3D mesh processing.
— Familiarity with DRR generation from CT volumes.
— Experience with Azure ML or similar cloud ML platforms.
— Background in orthopedic or musculoskeletal imaging.
— Experience in a medical device or regulated environment (FDA, CE).

Responsibilities:
— Improve and extend the existing X3D pipeline for X-ray to 3D bone reconstruction.
— Design, train, evaluate, and optimize deep learning models for medical image analysis and 3D reconstruction tasks.
— Work with medical imaging data (CT, X-ray, DICOM, NIfTI) and implement preprocessing, augmentation, segmentation, and registration techniques.
— Research, prototype, and implement new approaches from academic papers and industry best practices.
— Integrate machine learning solutions into the web application and support deployment workflows.
— Collaborate closely with the Head of Engineering to further develop and productionize the existing AI pipeline.
— Maintain code quality through testing, documentation, and continuous improvement of ML infrastructure and development processes.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer 🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

We are looking for an experienced ML Ops & Infrastructure Engineer to join an AI-oriented project focused on building technology solutions for automating complex processes in heavy industry domains — from construction and mining to the energy sector.
 

The team is developing reliable AI and robotics-oriented systems that help people perform difficult and potentially dangerous work more efficiently and safely. The project combines software engineering, AI infrastructure, and real-world hardware-oriented challenges, where reliability, scalability, and the ability to work with high-load ML workflows are essential.
 

In this role, you will work closely with Research and Engineering teams to build infrastructure for data processing, model training, evaluation, and deployment of ML models.
 

Requirements:
— 3+ years of commercial experience in ML infrastructure, MLOps, Data Engineering, or related backend/infrastructure roles.
— Strong experience with AWS and/or GCP.
— Hands-on experience with Docker and Kubernetes (K8s).
— Strong Python skills and solid software engineering fundamentals.
— Experience building and maintaining scalable data pipelines and workflow orchestration systems.
— Experience with orchestration/workflow tools such as Airflow, Argo, Kubeflow, or similar.
— Understanding of distributed compute environments and ML training workflows.
— Experience with Git and bash scripting.
— Strong problem-solving skills and the ability to work independently in a dynamic environment.
— Upper-Intermediate or higher English proficiency.

Nice to have:
— Experience with Terraform or other Infrastructure as Code tools.
— Familiarity with distributed training frameworks (PyTorch DDP, Ray, Horovod, etc.).
— Experience with model monitoring, observability, or data drift detection.
— Experience working with large volumes of unstructured data (video, sensor data, spatial data).
— Background in AI-heavy domains such as computer vision, autonomous systems, robotics, or similar fields.

Responsibilities:
— Design, build, and maintain scalable ML infrastructure and internal platforms.
— Develop reliable data ingestion, processing, and versioning pipelines.
— Build and optimize environments for distributed model training and evaluation.
— Manage cloud compute workloads across AWS and/or GCP.
— Containerize and orchestrate ML workloads using Docker and Kubernetes.
— Collaborate closely with ML researchers and software engineers to improve development workflows.
— Improve infrastructure reliability, scalability, and deployment processes.
— Build tooling and systems that accelerate AI research and production readiness.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer 🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

We are looking for a Lead/Senior Python Developer to join a USA-based project. The company is developing a next-generation web interface platform that helps people capture ideas, thoughts, and context seamlessly, wherever they are. The product combines software and hardware, including a voice-first interface and a wearable device designed to make interaction feel intuitive and fast.

This is an early-stage, high-ownership environment where engineers work closely with founders, influence technical decisions, and help shape both the product and the engineering culture from the ground up.
 

Requirements:

Core Requirements:
— 7+ years of experience building and shipping production software in startup or fast-growing environments.

— Solid backend development experience with Python (FastAPI or similar frameworks).

— Experience designing and maintaining API-first systems (REST), asynchronous services, and distributed architectures.

— Advanced debugging skills and experience investigating production incidents.

— Good understanding of system performance optimization and reliability engineering principles.

— Hands-on experience with observability and monitoring platforms such as Datadog, Grafana, Prometheus, OpenTelemetry, or similar tools.

— Solid understanding of logging, tracing, metrics, and alerting systems.

— Ability to improve system reliability, reduce latency, and maintain operational stability.

— Practical use of AI tools in daily development (e.g., AI-powered IDEs, code assistants, testing or refactoring tools).

— Clear communication skills and the ability to collaborate effectively with non-technical stakeholders.

— High level of ownership with the ability to drive technical decisions independently.

— English — Upper-Intermediate level or higher.

Infrastructure & Cloud:

— Deep understanding of AWS services and cloud infrastructure management.

— Knowledge of infrastructure scalability, reliability, and cost optimization practices.

— Experience operating and maintaining production environments.

— Familiarity with CI/CD workflows and infrastructure automation tools.

Nice to Have:

— Background in fast-paced startup environments and collaboration with cross-functional engineering teams.

— Experience with React and building web applications.

— Experience developing internal engineering tools and developer tooling.

— Exposure to on-call rotations and production operations.

— Experience with containerized environments and deployment pipelines.

— Experience in monitoring and optimizing AI-related costs, usage, and performance.

— Understanding of asynchronous and AI-related workflows.
 

Responsibilities:

— Collaborate with founders and cross-functional teams to refine and implement technical requirements.

— Design and build high-quality, scalable backend systems and APIs using Python.

— Conduct code reviews and ensure adherence to engineering best practices and maintainable code standards.

— Take ownership of production systems, including debugging issues, investigating incidents, and ensuring system reliability.
 

Interview stages:

— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer🎉🎉🎉
 

We offer:

— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.
 

Let’s create value together!