Ai ML Engineer

Goals and deliverables Goals and deliverables Specific Knowledge/Experience: At least 7 years of experience as a Software Engineer Proven track record of working in AI products development Expertise in Python, valuable Java, Scala, C# Knowledge in microservices, valuable graphQL Knowledge in DevOps as ADO pipelines, docker and some experience deploying models (MLOps, LLMOps, AIOps) Knowledge in Data management & data structures such as Json schema, Avro Experience with workflow orchestration using Apache Airflow and Microsoft Fabric Data Factory pipelines within Microsoft Fabric Strong understanding of GenAI/AI/ML technologies with knowledge in concepts as AI flow, evaluation, training, scoring, prompting, guardrails and RAG Experience with Cloud providers as Azure, GCP or AWS Experience in Agile development methodologies, particularly SCRUM Proficiency in AI-assisted coding practices Valuable knowledge: distributed architectures, akka concepts, NLP projects, standard methodologies and principles, software patterns Proficiency in using project management and collaboration tools (e.g., JIRA, Trello) Strong organizational & time management skills Cloud certifications is a plus Strong analytical and problem-solving skills Creativity, curiosity and a passion for innovation and technology Skills and behavioral competencies Startup mindset & ownership: proactive, resourceful, bias to action, comfortable with ambiguity, drives ideas to value Curiosity & craftsmanship: keeps pace with GenAI/agentic advances; evaluates and integrates what truly works Communication & evangelism: explains complex topics clearly to non-technical audiences; runs workshops/demos Collaboration & knowledge sharing: reusable components, patterns, docs; uplifts team capabilities Responsible AI: builds with security, privacy, and compliance by design What’s in it for the candidate Be part of — and contribute to — a once-in-a-lifetime transformation at Syensqo: small, empowered team; direct line of sight to impact; modern Azure stack; autonomy to ship meaningful AI products used across the Group.