ML & AI Opportunities in Finland

Jefferson Frank; Helsinki; On-site; EUR 40 000 - 60 000; Full time

Job description

ML & AI Opportunities in Finland

Research Scientist/Engineer (Agents & Retrieval)

Location: Espoo, Finland

Join a cutting‑edge AI team focused on building secure, production‑grade systems for enterprise deployment. This role bridges research and engineering, with a focus on retrieval‑augmented generation (RAG), agentic workflows, and evaluation frameworks.

Key Responsibilities:

• Architect and optimize RAG pipelines (chunking, embeddings, vector storage).
• Develop agentic systems with memory, planning, and tool orchestration.
• Design evaluation frameworks for RAG and agent performance.
• Stay current with AI research and translate findings into production systems.
• Collaborate with customers to align technical solutions with real‑world needs.

Requirements:

• Multiple years in AI/ML, with deep expertise in information retrieval and RAG systems.
• Strong understanding of agent architectures and evaluation metrics.
• Experience with LLMs, LangChain, RAG, and cloud platforms.
• Proficient in Python, PyTorch, CI/CD, and Kubernetes.
• Publications or open‑source contributions are a plus.

Machine Learning Engineer (Inference)

Location: Espoo, Finland

Seeking a hands‑on engineer to lead the development and optimization of the inference stack. This role focuses on high‑performance model serving, GPU optimization, and MLOps infrastructure for secure enterprise AI deployments.

Key Responsibilities:

• Design and optimize inference infrastructure using vLLM, SGLang, and custom engines.
• Profile and improve latency, throughput, and GPU utilization.
• Extend support to multimodal models (diffusion, ASR/TTS).
• Build robust MLOps pipelines for deployment and monitoring.
• Collaborate with infrastructure teams on GPU resource management and scaling.

Requirements:

• Multiple years in ML engineering, with strong GPU and HPC experience.
• Deep knowledge of CUDA, NCCL, InfiniBand, and virtualization.
• Experience with LLMs, model compression, and secure deployment.
• Proficient in PyTorch, Kubernetes, and Linux kernel‑level optimization.
• Open‑source contributions and multimodal model experience are a plus.

Reach out:

✉ Email: [e-mail]

☎ Contact Number: [phone] (1587) / [phone]