We’re looking for an AI Architect / Senior ML Engineer to design and deliver production-grade AI systems for enterprise clients.
This is a hands-on architecture and delivery role focused on building real-world AI solutions (not research). You’ll work across the full lifecycle of AI systems, from data pipelines and model development to deployment and monitoring in production environments.
You’ll combine classical machine learning, data engineering, and modern Generative AI (LLMs, RAG) with strong MLOps and cloud architecture practices. You’ll also work closely with consultants and clients to shape solutions early and ensure they are both technically sound and business-relevant.
Join HelmesWhat you will do
- Design and deliver end-to-end AI systems (data → models → deployment → monitoring)
- Architect scalable AI solutions in AWS / GCP / Azure
- Own MLOps, CI/CD pipelines, and production readiness of ML systems
- Build reusable AI components, platforms, and accelerators
- Integrate AI solutions into complex enterprise environments
- Apply GenAI techniques (LLMs, RAG, fine-tuning) where relevant
- Lead technical delivery from problem definition to production
- Collaborate with consultants and clients on solution design
- Guide engineering teams and promote AI-augmented development practices
What we are looking for
- 7–12+ years of experience, including 4–6+ years in ML/AI with production systems
- Strong Python engineering skills (bonus: .NET / Java / C++)
- Experience with PyTorch, SciKit-Learn, or TensorFlow
- Strong background in data engineering and distributed systems (e.g., Spark, Kafka)
- Hands-on experience with cloud platforms (AWS / GCP / Azure)
- Solid MLOps experience (Docker, Kubernetes, CI/CD, MLflow or similar)
- Experience with GenAI (LLMs, prompt engineering, RAG)
- Strong system design and architecture skills
- Ability to work with clients and take ownership of delivery
- Fluent English
Nice to have:
- Experience building AI platforms or internal developer tools
- Consulting or client-facing delivery background
- Multi-cloud experience
- Experience with large-scale optimization or advanced AI use cases
- Leadership or mentoring experience
- Industry experience (finance, healthcare, logistics, etc.)
What we offer
- High-impact AI engineering role working across multiple industries
- Close collaboration with consulting and engineering teams
- Flexible, remote-friendly setup (Estonia, Latvia, Lithuania, Poland)
- Opportunity to work with clients across Europe
- Culture of autonomy, trust, and collaboration
- Flat organization with direct access to decision-makers
- Healthy work-life balance with flexible hybrid options
- B2B contract setup
- Regular team events and thoughtful company traditions
- Helmes is rated 4.8/5 on Glassdoor, and 94% of employees would recommend us as a great place to work.
Let’s talk if you’re ready to architect and deliver AI systems that move from idea to production in real enterprise environments.
Apply here