AI-ML Researcher

Job Title: AI-ML Researcher Company: AkzoNobel Job Category: Data Science Roles & Responsibilities: The Technology Integration Team develops and productizes reusable Color Technology Components that power AkzoNobel’s internal applications and external customer\-facing tools, with focus areas in Colorimetric Engines/Building Blocks, Color Visualization, and AI/ML\-enabled color services. The AI/ML Researcher owns the delivery of applied Machine Learning and statistical solutions for prioritized color and coatings use cases (e.g., formulation optimisation, pigment/raw material screening, quality prediction, and image\-based inspection). The role translates business and R\&D questions into well\-structured datasets, validated ML models, and clear insights, and partners with engineering and product stakeholders to ensure solutions are deployment\-ready, monitored, documented and usable in products and processes. Unlike generalist Researcher roles, this position brings dedicated applied ML/data science capability to the team, owning the end\-to\-end ML lifecycle from problem framing through deployment\-ready model delivery. o Lead or co\-lead end\-to\-end delivery for assigned use cases from discovery and scoping through experimentation, validation, and implementation readiness. o Develop, benchmark, and validate ML models (supervised/unsupervised) including baseline creation, feature engineering, model selection, hyperparameter tuning, and robustness checks. o Define and drive dataset design/generation activities (e.g., DoE support, sampling strategy, labeling guidance, protocol awareness) to improve training data quality and coverage. o Drive implementation readiness of assigned models: reproducible training/inference code, model artifacts, data dependencies, parameterization, testing approach, and clear runbooks. o Partner with application/software teams to integrate model outputs into components/services (APIs, batch pipelines, or embedded usage) and support post\-deployment stabilization. At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. Work Location: Karnataka, India Availability: Full time

Experience -------------- Educational qualifications o Master’s degree (preferred) or Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operational Research, Engineering or related quantitative field. Relevant experience o Typically 5\-0 years of experience applied machine learning / data science delivering solutions in industrial, manufacturing, R\&D, engineering, or equivalent complex environments (or equivalent project portfolio demonstrating end\-to\-end ownership). o Experience collaborating with cross\-functional stakeholders (research, engineering, product) and delivering work in an agile/team setting. Key Skills: Data Science, Python, SQL, Pandas, NumPy, Statistics, Machine Learning Salary: Not disclosed