Middle/Senior Machine Learning 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.
Altamira is seeking an AI/ML Engineer to design, optimize, and deploy machine learning models. You’ll collaborate with cross-functional teams to ensure seamless deployment, lead experimentation strategies, and maintain high-performing models in production. Stay at the forefront of AI/ML advancements while documenting processes and driving continuous innovation.

REQUIREMENTS:

• Proficiency in specialized use cases like NLP, LLMs, or recommendation engines.
• Strong understanding of ML algorithms and mathematical foundations.
• Hands-on experience with LLMs, RAG architecture, and agent-based systems.
• Prior experience with AWS Bedrock or similar cloud platforms.
• Proven track record in solving classification/regression tasks and deploying models.
• Expert-level Python skills and experience writing scalable software modules.
• Proficiency in Git and collaborative agile development workflows.
• Upper-intermediate level English proficiency.
• Excellent communication and problem-solving skills, with the ability to present technical concepts to non-technical stakeholders.

• Design and deploy machine learning models, collaborating with engineers, data scientists, and product managers.
• Lead experimentation strategies and maintain robust pipelines.
• Ensure optimal model performance in production environments.
• Document processes and stay updated on AI/ML advancements to drive innovation.