Whoare we:
is an AI-driven custom software services company with 250 IT specialists with proven expertise in software & product engineering artificial intelligence business intelligence data analytics & integration services.
With offices in Switzerland Germany and 4 delivery centers in Romania we cover the entire development cycle from business research consulting and architecture to post-implementation testing and maintenance.
Our values:
Partner of choice: With a customer-centric approach we build an environment where partnerships thrive and turn them into long-lasting relations. Its a space of co-creation innovation and top-notch technologies to deliver outstanding custom software development
Professional: We always deliver and this is one non-negotiable pillar of our culture. Be it product engineering or custom software development the quality and ethics of our work are inherent to everything we do
Authentic: We value everyones uniqueness in the pursuit of framing a culture of equality diversity and inclusion. Come as you are and stay true to yourself. We become the best version of ourselves together
Team: Trust is our ultimate currency and we use it to constantly enrich our kind community. When it comes to scaling the team is our functional cell. We grow together we learn together we build together
About the role: We are looking for a Senior Machine Learning Engineer to join a high-impact data and AI initiative within a large-scale enterprise environment. The role focuses on designing building and deploying machine learning solutions that transform complex data into actionable insights and support data-driven decision-making across the organization.
Responsibilities:
Design develop and deploy machine learning models and AI solutions to solve complex business problems
Build and maintain scalable ML pipelines for data processing feature engineering model training and inference
Collaborate with data scientists to productionize machine learning models and ensure reliable deployment
Implement MLOps practices including model versioning monitoring retraining and lifecycle management
Work with large-scale structured and unstructured datasets to build predictive and analytical models
Optimize models for performance scalability and robustness in production environments
Integrate machine learning models into existing applications APIs and data platforms
Ensure high-quality code testing documentation and best engineering practices
Monitor model performance and continuously improve models through experimentation and retraining
Support data governance security and compliance requirements in machine learning workflows
What are we looking for:
Solid experience in Machine Learning Engineering Data Science Engineering or a similar role
Strong programming skills in Python
Experience with machine learning frameworks such as: Scikit-learn TensorFlow PyTorch
Experience building production-grade ML systems
Solid knowledge of statistics machine learning algorithms and model evaluation techniques
Experience working with large datasets and distributed data processing frameworks
Familiarity with ML lifecycle management and MLOps practices
Experience with containerization and deployment technologies (Docker Kubernetes)
Experience integrating ML models through APIs or microservices
Strong understanding of data pipelines and feature engineering
Experience with Git and modern software development practices
Nice to Have:
Experience with cloud platforms (AWS Azure or GCP)
Experience with ML orchestration tools (Airflow Kubeflow MLflow etc.)
Knowledge of deep learning architectures
Experience with streaming or real-time ML systems
Familiarity with big data technologies (Spark Hadoop)
Experience in industrial energy or large-scale enterprise environments
What we offer:
Learning platforms: Udemy Master Minds LinkedIn Learning
Internal Technical (including Training held by certified trainers) & Soft skills Training
Medical Subscription
Gym Deduction
Bookster Subscription
library - we cover the costs for all specialized books our colleagues want to read
Wellbeing activities
Flexible working hours
Flexible office/Work from-home Policy
Constant internal events such as team building thematical parties hackathons team celebrations
minditNomad - all houses are available to book by people to build a flexible context for all colleagues to work and have fun in great locations across the country (Comarnic Cluj Iasi Sibiu)
An organizational culture that values employee contribution and empowerment
2 extra days of vacation designated for wellbeing
Free Therapy Sessions provided by
Gettoknowusbetterhere:
Required Experience:
Senior IC
Take your enterprise to new levels with custom AI solutions and data-driven insights. Specializing in AI-driven data and software engineering across retail, healthcare, banking, fintech, foodtech, and manufacturing.