Machine Learning Engineer

About the Position

We are seeking 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

Requirements

• 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

We Offer

• Competitive salary
• Access to therapy
• Bookster subscription
• Flexible hours
• Friendly office space
• Fun activities
• Gym subscription
• Learning platforms
• Medicover / Sanopass subscription
• Wellbeing days off
• Work from anywhere

About the Company

mindit.io 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

We put our customers at the center of everything we do, building authentic, trust-based relationships at every level. By deeply understanding their business goals and acting in their best interest, we create long-term partnerships that last. Combining industry know-how with cutting-edge technology, we become the partner our customers rely on when it matters most.

Professional

We always deliver! with discipline and excellence – on time, on budget, on quality. Powered by highly skilled teams, strong engineering practices, and efficient processes, we turn complex challenges into reliable, high-impact outcomes.

Authentic

We take ownership of our work and our growth. Guided by a continuous learning mindset, we strive to become the best version of ourselves – acting with ambition, curiosity, and an extra-mile attitude in everything we do.

Team

We believe our strength lies in moving forward together. Trust, collaboration, and shared accountability enable us to achieve more than we ever could alone. By supporting one another and valuing every contribution, we create an environment where people grow, excel, and deliver real impact. We grow together, we learn together, we build together.