Middle R&D/AI/ML Engineer

at  ALTAMIRAAI

Altamira is a boutique IT company that delivers Digital and AI solutions to a wide range of international customers. Headquartered in Bratislava (Slovakia), we work primarily in the financial, pharma and retail sectors delivering mobile, web and platform solutions using an expansive technology portfolio.
We are proud of our teammates. As a fully remote company, we are building empowered, self-organized teams that are focused on personal and professional growth, and who share our customer obsession.
Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US.
Are you passionate about AI, machine learning, and innovation? Join Altamira as a Middle/Senior R&D/AI/ML Engineer and help us shape the future of AI-driven solutions. You’ll collaborate with talented teams, work on cutting-edge research, and contribute to scalable AI/ML technologies for both commercial and research applications.

REQUIREMENTS:

• 2-4 years of hands-on AI/ML model development and deployment experience.
• Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong Python skills and experience with data preprocessing.
• Solid knowledge of ML algorithms, statistics, and model evaluation metrics.
• Experience deploying models on cloud platforms (AWS, GCP, Azure) or on-prem solutions.
• Familiarity with Docker, Kubernetes, or FastAPI for model serving.
• Proficient with Git and collaborative agile workflows.
• Upper-intermediate level English proficiency.
• Excellent communication and problem-solving skills.
  Join Altamira and bring your expertise to innovate and push the boundaries of AI/ML technology!

• Collaborate with cross-functional teams to develop AI/ML solutions.
• Design, train, and deploy machine learning models and algorithms.
• Conduct research on innovative AI/ML techniques and methodologies.
• Optimize data pipelines and model architectures for scalability.
• Perform experiments and iterate on model improvements.
• Stay updated with the latest AI/ML technologies and trends.
• Contribute to code reviews and work closely with engineering teams.