AI/ML Engineer (Databricks)

Job Title: AI/ML Engineer (Databricks) Company: DysrupIT Job Category: Machine Learning Roles & Responsibilities: DysrupIT is a leading global\-based cloud services company. We support clients across the globe in This role is the right fit if you love hands\-on AI/ML engineering, enjoy direct client collaboration in JOB RESPONSIBILITIES use cases, using MLflow for experiment tracking and model management. * Support the delivery of Generative AI and agentic systems on Databricks, including data agentic assistants, forecasting, personalisation), reducing time\-to\-development for new pandas, scikit\-learn, and PyTorch. * Background supporting large\-scale consumer or enterprise ML systems (recommenders, support AI use case development. Work Location: Karnataka, India Availability: Full time

extraordinary career experience to motivate and inspire talents like you to make a difference in architects, translating client requirements into reliable, governed, and scalable solutions. production scale. * Work directly with client engineering teams and stakeholders to gather requirements, REQUIRED TECHNICAL SKILLSET not just notebooks. * Practical experience delivering production Generative AI or agentic systems, including RAG ranking, forecasting, personalisation). * Experience with MLflow or a comparable tool for experiment tracking, model registry, and model serving. * Solid SQL skills and experience with cloud data platforms (Azure, AWS, or GCP); Azure Databricks experience is a plus. * Comfortable working directly with clients or cross\-functional stakeholders to scope and PREFERRED EXPERIENCE * Practical experience with Delta Lake and lakehouse/medallion architecture patterns. * Working knowledge of Unity Catalog or equivalent data governance and access\-control tooling. * Prior consulting or professional services experience in AI/ML delivery. * Familiarity with experimentation and A/B testing pipelines built on Databricks. * Exposure to causal inference or applied statistics (e.g., uplift modelling, Double ML) to CERTIFICATIONS PREFERRED * Competitive compensation package commensurate with experience * Government\-mandated benefits plus supplemental Health Insurance * Collaborative and professional work environment * Career growth opportunities within a growing organization * Remote work arrangement Key Skills: Machine Learning, Python, PyTorch, Pandas Salary: Not disclosed