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For Permanent in Finland

    Lead AI Engineer

    Finland, Turku

    • €5,000 to €7,000 EUR
    • Developer Role
    • Skills: Node.JS
    • Seniority: Mid-level

    Job description





    About the Role

    My client is looking for a skilled AI Engineer to join our growing technology team and help design, build, and deploy AI-driven solutions that power the next generation of intelligent products. You'll work on real-world problems involving machine learning, natural language processing (NLP), computer vision, and generative AI, collaborating closely with developers, data scientists, and product leaders.



    Responsibilities:
    • Design, train, and deploy machine learning and deep learning models for production use.
    • Work with Large Language Models (LLMs), NLP, or computer vision to develop practical, high-impact AI features.
    • Collaborate with product and engineering teams to integrate AI capabilities into SaaS and enterprise platforms.
    • Implement scalable data pipelines and model-serving architectures using Python and cloud services (AWS, Azure, or GCP).
    • Continuously evaluate and improve model performance through experimentation and A/B testing.
    • Stay up-to-date with the latest advancements in AI research and frameworks, and contribute to innovation discussions.




    Requirements:
    • Hands-on experience in AI, machine learning, or data science roles.
    • Strong programming skills in Python and experience with TensorFlow, PyTorch, or Transformers.
    • Understanding of data preprocessing, feature engineering, and model evaluation techniques.
    • Familiarity with LLM APIs (OpenAI, Anthropic, Hugging Face) or fine-tuning frameworks.
    • Experience deploying AI models into production environments.
    • Strong analytical mindset and problem-solving skills.
    • Excellent communication and teamwork abilities.




    Nice-to-Have
    • Experience with Generative AI, Prompt Engineering, or Retrieval-Augmented Generation (RAG).
    • Knowledge of vector databases (Pinecone, Weaviate, FAISS).
    • Exposure to MLOps tools like MLflow, Kubeflow, or Vertex AI.
    • Experience integrating AI into web apps, APIs, or chatbots.




    ✉ Email: g.heron@tenthrevolution.com

    ☎ Contact Number: +44(0)1915949744 (1587) / +358 753 266586

    ML & AI Opportunities in Finland

    Finland, Helsinki

    • €6,000 to €8,000 EUR
    • Developer Role
    • Skills: AWS
    • Seniority: Mid-level

    Job description



    ML & AI Opportunities in Finland

    Research Scientist/Engineer (Agents & Retrieval)
    Location: Espoo, Finland

    Overview:
    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

    Overview:
    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:     g.heron@tenthrevolution.com
    ☎ Contact Number: +44(0)1915949744 (1587) / +358 753 266586

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