Job Title Asc - D A Solutions Experience 7-10 Years Location Mumbai Key Responsibilities Demonstrate strong awareness of data cloud and AI-related risks with the ability to interpret and apply governance policies and frameworks Solid understanding of responsible AI practices and the evolving risk landscape of Generative AI Design and implement automated control frameworks leveraging advanced analytics AI ML techniques and risk-driven approaches to strengthen oversight across data cloud and AI platforms Build optimize and maintain scalable and high-performing AI ML models ensuring accuracy robustness and alignment with business requirements Define and implement best practices for model validation testing performance monitoring and periodic upgrades aligned with enterprise risk frameworks Work closely with data engineers software developers and domain experts to ensure seamless integration and operationalization of AI ML solutions within existing systems Deliver end-to-end AI ML-based solutions following secure and scalable SDLC standards including data ingestion security protocols and enterprise architecture principles Engage proactively with business stakeholders to identify AI opportunities define solution requirements and clearly communicate risk control and value implications related to data cloud and AI initiatives Stay abreast of emerging trends in data science ML and AI incorporating new technologies and approaches to enhance solution effectiveness and resilience Requisites Proven expertise in machine learning algorithms deep learning architectures and statistical modeling with a focus on accuracy scalability and performance optimization Hands-on experience in building and managing end-to-end ML pipelines covering model training testing validation and deployment Proficient with cloud platforms such as AWS GCP and Azure and experienced in using MLOps tools for automated model deployment monitoring and governance Skilled in managing complex data ecosystems including structured semi-structured and unstructured datasets and solving ambiguous or undefined data problems Capable of conducting AI model evaluations aligned with ethical AI frameworks experienced in implementing controls to mitigate AI risks and ensure responsible usage Robust communication and stakeholder engagement skills enabling seamless collaboration with data scientists engineers product managers and business teams Deep understanding of SDLC best practices including data integration secure application design and scalable architecture