Must have

• AI

• MLOps

• risk management

• PhD

• Python

• Microsoft Azure

• DevOps

• GitHub Actions

• Communication skills

• English (C1)

• Polish (Fluent)

Requirements description

Skills and attributes for success

• You are a team-oriented person, highly collaborative, who sets personal goals aside to listen, learn, and engage thoughtfully with colleagues, always with an eye on achieving impactful results.
• You are methodical yet creative problem solver, proactive in learning, seeking improvements and work cooperatively with your team. You value iterative progress, embracing experimentation with new methods, learning from outcomes, and rapidly advancing.
• Master's or PhD level in a discipline such as Computer Science, Mathematics, Sciences or Civil Engineering.
• You have 2-5 years of solid experience in Applied AI, including the latest advances in Generative AI.
• Strong programming experience in Python is essential.
• Business proficiency in English.
• Proven experience with Microsoft Azure, including deployment of resources, building, management, and optimization of AI solutions on the Azure platform.
• Familiarity with Azure DevOps or GitHub Actions for automated builds and deployments.
• Very Good presentation and communication skills, with the ability to explain complex analytical concepts to business people.
• Experience in applying AI to business real world problems.
• You are not afraid to support of business development and pre-sales activities.

Offer description

Profile: AI Engineer

Offer:

• Location: Remote + occasional visits in Kraków
• Start: ASAP
• Contract: B2B with apreel
• Rate: up to 165 zł +VAT

Your responsibilities

1. As AI Engineer, you will be part of the AI and Data team. You will work in multi-disciplinary environment leveraging AI capabilities to provide real business impact for our clients.
2. Play a key role in the end-to-end delivery of innovative AI solutions for our clients, from ideation, feasibility assessment, to data preparation, solution development and industrialization in production environment.
3. With a strong focus on MLOps you will deliver robust and production-ready solutions.
4. You will keep up with the state-of-the-art AI capabilities, open-source and proprietary, undertake proof-of-concepts, and design innovative AI Solutions.
5. You will also support transformation processes towards an AI centric culture and work closely together with colleagues from other business departments, in domains such as risk management, business optimization and customer intelligence.
6. You will also build and share knowledge with your colleagues and coach junior profiles.