Role & responsibilities Perform RA (Risk Assessment/Research Analysis) and SBIM (SBI Model/Business Intelligence Modeling) tasks to support business decision-making. Extract, manipulate, and analyze large datasets using SAS and SQL. Develop and maintain reports, dashboards, and analytical models for performance tracking. Work closely with stakeholders to understand business requirements and translate them into analytical solutions. Ensure data accuracy, consistency, and security in all analytics processes. Collaborate with cross-functional teams to deliver insights and recommendations. Participate in process improvement initiatives to enhance data quality and reporting efficiency. Preferred candidate profile 3-6 years of experience in data analytics, preferably in BFSI or a similar domain. Strong proficiency in SAS (Base, Enterprise Guide, Macros) and SQL (T-SQL, PL/SQL, or similar). Hands-on experience with data manipulation, cleansing, and validation. Good understanding of risk analysis, business intelligence, and statistical techniques. Ability to translate complex datasets into actionable business insights. Strong problem-solving skills and attention to detail. Excellent communication skills to interact with technical and non-technical stakeholders. Banking experience is required.
Role & responsibilities Identify client challenges and propose innovative AI/GenAI solutions, primarily leveraging Azure and OpenAI capabilities. Conduct functional and process design, prototyping, testing, training, and establish robust support procedures in partnership with data engineering and leadership teams. Design, build, and fine-tune generative AI models across applications such as NLP, computer vision, and other advanced analytics scenarios. Fine-tune and optimize large language models and open-source pre-trained transformers utilizing cloud and distributed computing environments. Collaborate closely with software engineering teams to integrate AI models effectively into existing products, services, and platforms. Develop robust APIs and scalable interfaces to ensure seamless deployment and operation of generative AI solutions. Provide technical and managerial leadership to a team dedicated to delivering AI solutions and product development. Partner with external institutions, research centers, and universities to explore and implement groundbreaking AI research initiatives. Ensure all AI solutions adhere to data privacy regulations, ethical standards, and compliance requirements. Stay current with emerging trends, tools, and best practices in machine learning and generative AI. Preferred candidate profile Mandatory: 6+ years of professional experience in AI, ML, Deep Learning, or related fields. Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related disciplines (Ph.D. preferred). Proven expertise in generative AI models, including large language models and frameworks such as OpenAI. Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex). Deep understanding of transformer architectures, attention mechanisms, and neural network design. Advanced knowledge of statistical modeling, algorithmic techniques, linear algebra, and probability theory. Hands-on experience processing and managing large-scale datasets with efficient coding practices. Demonstrated capability in program leadership, governance, and facilitating change management. Desirable: Experience with Azure Data & AI services. Familiarity with MLOps tools (MLFlow, Azure MLOps). Ability to creatively solve complex problems under resource constraints. Exceptional verbal and written communication skills, with the ability to effectively engage C-Level executives.
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