Senior AI/ML Engineer

TL;DR Would you like to be a part of Recordly's story? Now is your chance! We’re looking for Senior AI/ML Engineers who want to get their hands dirty building modern AI, ML, and GenAI solutions in production environments. Working at Recordly means you get to work with customers that truly want to make data and AI/ML their competitive edge. You will be at the core of helping businesses capitalize on the opportunities data offers. As a Senior AI/ML Engineer, you take strong ownership of end-to-end delivery and technical direction in customer engagements. "WHO/WHAT IS RECORDLY?" YOU MIGHT ASK At Recordly, we believe data and AI are transforming the way businesses create value. While this transformation is already reshaping industries, many organizations are still searching for practical ways to realize its full potential. Our experienced data professionals help companies bridge that gap, turning data and AI into meaningful business outcomes. Our mission is to define how humans and data co-operate. We want to support businesses in understanding the data they already have, the opportunities they’re not yet capturing, and how to use these to enhance strategic KPIs. Simultaneously, we aim to translate business requirements into actionable tasks for teams working with the data or related technologies. We work closely with our customers to make this happen. Our expertise covers data engineering, data architectures, and data management as well as hands-on AI and ML solutions, GenAI applications, and agentic systems. Whether it’s real-time pipelines, enterprise ML platforms, or modern cloud ecosystems, we focus on solutions that are practical, scalable, and built for long-term value. We're tech-agnostic, but some of our most commonly used tools include Azure, GCP, AWS, Snowflake, dbt, and Databricks. In simple terms: we tech the heck out of data. What sets us apart is who we are and how we do it. Our employee promise (besides offering engaging customer assignments, of course) includes the possibility of enjoying the company's success and shaping who we are and what we do together. We believe in being open about how the business is going and how our choices affect the bottom line. Take a look at our site to get to know us better! WHAT WE’RE LOOKING FOR As a Senior AI/ML Engineer, you take strong ownership of complex AI/ML engagements in customer environments. Deep technical expertise is a given, but equally important is the ability to act as a trusted advisor: identifying the right problems before the customer knows to ask, choosing durable solutions over short-term experiments, and delivering end-to-end in regulated and high-trust environments. You drive projects forward while also shaping Recordly's AI/ML capabilities and best practices. We hope you have at least five years of relevant experience. Technical requirements: Core expectations (you don’t need to tick every box, but most should feel familiar): Strong hands-on experience designing and delivering ML solutions in production: supervised/unsupervised models, feature engineering, training pipelines, and model deployment across the full lifecycle Deep hands-on experience designing and delivering GenAI solutions in production: RAG architectures (naïve, hybrid, agentic), embedding strategies, rerankers, and retrieval optimisation Strong experience with agentic systems: LLM orchestration, multi-step planning, skills, MCP, A2A, and similar protocols Deep MLOps and LLMOps expertise: the full lifecycle of prompts, retrievers, and models - model registry, drift detection, A/B testing, and observability Experience building evaluation frameworks together with domain experts: metrics, automated eval suites, and production monitoring. We treat evals as code Delivering responsible and regulation-compliant AI: data residency, identity integration, prompt injection defences, output guardrails, and practical application of the EU AI Act Deep cloud expertise in at least one environment (Azure, AWS, or GCP), including IaC practices and container orchestration Ability to work independently in customer-facing situations. Both as a technical expert and as someone who can identify and articulate business opportunities. Nice to have: Experience with enterprise-scale ML platforms: feature stores, model registries, Azure ML, SageMaker, Vertex AI, or Databricks MLflow Understanding of real-time ML solutions and stream processing Ability to identify business opportunities within customer engagements and contribute to solution development from a commercial perspective Experience with the specific requirements of regulated industries: energy, media, finance, or similar. What we're especially looking for right now: Architecting and delivering RAG-based knowledge assistant solutions in production Designing and delivering agentic systems in enterprise environments. Language requirements: In addition to English, we require fluent written and spoken Finnish skills, as a significant part of our c