Senior Applied AI/ML Engineer

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October 14

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Perelyn

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Artificial Intelligence • B2B

<Perelyn> is a European AI consultancy and engineering firm that helps enterprises design, build and operate production-grade artificial intelligence systems. They specialize in generative AI and large language models (LLMs), Autonomous AI, GenVision and computer vision, signal processing, and AI operations (MLOps / LLMOps), with additional services around AI compliance, trustworthy AI and AI security. Perelyn works with large B2B clients across sectors such as energy, transportation and telecommunications to deliver proof-of-concepts, custom chatbots, anomaly detection and model evaluation frameworks.

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Contribute to a broad range of AI-related projects, spanning LLM use cases, computer vision, full‑stack chatbot development, and Machine Learning Operations (MLOps) • Support research and product development involving AI components, such as Retrieval‑Augmented Generation (RAG) and agentic AI • Participate in discussions to identify and analyze use cases internally and with clients, and design tailored solutions aligned with business requirements • Work closely with the AI Strategy team to ensure successful delivery and implementation of AI‑driven projects

🎯 Requirements

• Hands‑on experience in AI and machine learning • Practical, results‑oriented mindset with proven experience applying a variety of AI/ML models • Ability to implement business‑driven generative AI solutions using frameworks like LangChain, Haystack, or LlamaIndex, following software development best practices • Interest in or familiarity with classical machine learning and deep learning techniques (advantageous but not required) • Experience with LLM/AI agent evaluation, implementing guardrails, or trustworthy AI practices • Ability to independently develop and deploy AI‑driven applications, including backend development • Proficient in Python; familiarity with JavaScript, TypeScript, R, or Java is a plus • Proficient with containerization and deployment workflows (Docker) • Experience building and consuming REST APIs • Understanding of cloud deployment and cloud‑native services • Knowledge of data transformation, cleaning, preparation, and model selection • Preferred: experience evaluating large datasets • Preferred: skills in data structuring and storage modeling

🏖️ Benefits

• Competitive salary with performance‑based bonuses and annual compensation review • Opportunities to grow and develop your technical expertise; relevant training and certification costs covered • Truly flexible working environment with a “remote‑first” policy, options for part‑time work and sabbatical, and family‑friendly tailored solutions • A dynamic, innovative, and experienced international team that genuinely cares • Clear, honest KPI communication with the tools and structures to support project ownership • Strong company culture with modern values based on respect, credibility, collaboration, and continuous learning • Bottom‑up decision‑making, flat hierarchies, and modern equipment tailored to your needs • 30 days annual leave per year plus a complimentary gym membership (wellpass)