Machine Learning & AI Platform Lead

About Kadel Labs : Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001 : 2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency. Job Title : Machine Learning & AI Platform Lead Location : Bangalore / Udaipur/ Jaipur / Bhopal Experience Required : 10+ years of strong, hands-on experience in Machine Learning Engineering and MLOps About the Role : We are seeking an experienced Machine Learning & AI Platform Lead to spearhead our AI initiatives, manage end-to-end deployments, and drive our technical strategy. In this dual-capacity role, you will guide our teams in model operationalization (MLOps) while owning the Token Platform and AI Gateway. The ideal candidate brings a deep technical background in ML engineering and cloud-native services, coupled with strong leadership skills to align our AI adoption roadmap with overarching business goals. Key Responsibilities : Leadership & Strategy : - Ensure all AI/ML solutions align with business objectives, performance metrics, and compliance requirements. - Collaborate with cross-functional teams to shape data strategy, data governance, and the organization's AI adoption roadmap. - Manage and lead the Token Platform and AI Gateway. - Guide and mentor engineering teams in model operationalization (MLOps), model versioning, and building robust retraining pipelines. Core Engineering & Model Development : - Evaluate and select the most appropriate ML algorithms, frameworks, and cloud platforms for business needs. - Build and optimize batch jobs for heavy data processing and model training. - Oversee Generative AI evaluations and lead the implementation of content filters. - Conduct thorough code reviews to maintain the highest standards of code quality and performance. - Own and manage end-to-end ML and platform deployments. Technical Requirements : - Languages & Frameworks : High proficiency in Python, modern ML libraries, and cloud-native development. - Cloud Platforms : Deep expertise in Azure (Azure Machine Learning Studio, Azure AI Foundry, Functions App, Cosmos DB, Azure DevOps, Key Vault) OR equivalent experience in AWS or GCP. - Data & AI Platforms : Hands-on experience with Snowflake AI services, specifically Cortex AI and Snowpark Container Services (SPCS). - Scale & Performance : Proven track record of large-scale model deployment, infrastructure management, and continuous performance tuning. Qualifications & Experience : - Experience : 10+ years of strong, hands-on experience in Machine Learning Engineering and MLOps. - Bonus/Preferred : A solid background in platform engineering or platform operations is considered a strong added advantage.