Machine Learning Engineer

Romania

About the role:

We are looking for an experienced Machine Learning Architect/Lead Engineer to design, optimize, and deploy advanced ML solutions that deliver real-world business impact. In this role, you will lead the full lifecycle of ML projects, from ideation to production, while mentoring junior engineers and collaborating with cross-functional teams. The ideal candidate brings deep expertise in Python, modern ML frameworks, and cloud platforms, with strong leadership and communication skills to drive scalable, high-quality solutions.

Responsibilities:

Architect and optimize advanced machine learning models, ensuring alignment with business goals and real-world applicability

Lead the development and deployment of scalable machine learning solutions, managing the full lifecycle from ideation to production

Mentor junior engineers, providing guidance and support to enhance team performance and technical prowess

Design and implement robust data pipelines for smooth integration and transformation of data used in modeling

Collaborate closely with cross-functional teams to integrate machine learning capabilities into existing systems and workflows

Evaluate and select suitable machine learning frameworks and tools that best fit project requirements

What are we looking for:

Strong academic background in Computer Science, Engineering, Data Science, or related field (MSc/PhD preferred)

5+ years of experience in machine learning engineering, with a strong track record of delivering production-grade ML solutions

Advanced proficiency in Python and ML frameworks such as TensorFlow and PyTorch

Deep understanding of machine learning algorithms (deep learning, ensemble methods, reinforcement learning, etc.)

Extensive experience with deploying machine learning models in cloud environments such as AWS, Azure, or Google Cloud

Exceptional communication skills, with the ability to convey technical information clearly to diverse audiences

Strong leadership skills with experience in managing and developing technical teams

Ability to evaluate trade-offs between accuracy, latency, interpretability and cost

Nice-to-have:

Experience with MLOps practices, including model lifecycle management and automation (using tools like MLflow or Kubeflow)

Familiarity with distributed computing frameworks and technologies (such as Apache Spark or Kubernetes)

Experience in the financial services industry, with a focus on integrating AI-driven solutions to enhance service offerings

Knowledge of ethical AI practices and regulatory requirements in AI deployment and usage

/benefits

Access to therapy

Bookster subscription

minditNomad

Flexible hours

Friendly office space

Fun activities

Gym subscription

Learning platforms

Medicover / Sanopass subscription

Wellbeing days off

Work from anywhere

/who we are

is an AI-driven custom software services company with +280 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.

Partner of choice

With a customer-centric approach, we build an environment where partnerships thrive and turn them into long-lasting relations. It's 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 everyone's 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.