This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job At the intersection of Artificial Intelligence, industrial systems, and applied ML research, we are looking for a Senior Machine Learning Researcher to help design and validate novel ML approaches for understanding complex engineering systems from heterogeneous technical data. The project is an early-stage R&D initiative focused on transforming industrial system descriptions, technical documentation, diagrams, specifications, and system data into structured representations that can support downstream modeling, simulation, and automation workflows. The focus of the role has shifted toward a pure ML research profile rather than a primarily engineering / implementation profile. We are looking for someone who can explore research directions, design experiments, benchmark model approaches, and validate what is technically feasible in an ambiguous R&D environment. This is the team You’ll join a senior-level AI / ML research and engineering environment working on applied AI solutions for industrial system understanding. The team operates in an experimental R&D setup where scientific thinking, rapid hypothesis testing, and practical validation are equally important. In this role, you’ll collaborate with AI engineers, domain experts, and technical stakeholders to explore ML approaches for extracting structure, relationships, and meaning from complex industrial data. This is you Strong background in machine learning research, applied ML, computer vision, multimodal learning, graph ML, representation learning, or related areas Experience designing and running ML experiments, benchmarking models, and interpreting results Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow Ability to work with ambiguous research questions and translate them into testable hypotheses Experience reading research papers and adapting methods to practical problems Strong Python skills and ability to build research prototypes Comfortable working independently in an R&D / PoC environment with evolving requirements Strong commercial experience with Python and modern AI/ML ecosystems Nice-to-have skills: Experience with document understanding, diagram understanding, technical drawings, engineering schematics, or similar visual / structured data Experience with knowledge graphs, graph neural networks, graph embeddings, or structured relationship modeling Experience with vision transformers, VLMs, self-supervised learning, contrastive learning, or synthetic data generation Experience with industrial, scientific, simulation, robotics, manufacturing, or physical-system data Experience with multimodal data fusion, combining visual, textual, structured, or sensor-based data Familiarity with GCP / Vertex AI or other cloud-based ML environments This is your role: Research and validate ML approaches for industrial system understanding Explore methods for extracting entities, components, relationships, and structure from technical documents, diagrams, specifications, and other system descriptions Design and run experiments comparing computer vision, multimodal, graph-based, and representation learning approaches Build research prototypes and evaluation pipelines to test feasibility Analyze model outputs, failure cases, and limitations, and propose improvements Collaborate with AI engineers and domain experts to translate research findings into practical project direction Present findings, experiments, and validation results to technical stakeholders What awaits you at Avenga? At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.