Head - AIML Delivery

• Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch
• Strong analytical and problem-solving skills
• Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++
• Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies
• Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
• Proven ability to apply, debug, and develop machine learning models
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
• Choose suitable DL algorithms, software, hardware and suggest integration methods.
• Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
• To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery
• Coach and mentor our team as we build scalable machine learning solutions
• Strong communication skills and an easy-going attitude
• Oversee development and implementation of assigned programs and guide teammates
• Carry out testing procedures to ensure systems are running smoothly
• Ensure that systems satisfy quality standards and procedures
• Build and manage strong relationships with stakeholders and various teams internally and externally,
• Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders

• As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML.

• Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule.

• Design and Delivery of AI ML Use cases
• RAI, Security & Governance
• Model Validation & Improvements
• Stakeholder Management

• Manage the team in terms of project assignments and deadlines
• Manage a team dedicated for reviewing models related unstructured and structured data.
• Hire, nurture talent as required.

• Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders.
• Identifying proper remediation plan for the risks with proper risk roadmap.

• Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role.

• Business Stakeholders
• AIML Engineering Team
• AIML Product Team
• Product Enablement Team
• SCB Infrastructure Team
• Interfacing Program Team

• Use NLP, Vision and ML techniques to bring order to unstructured data
• Experience in extracting signal from noise in large unstructured datasets a plus
• Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems
• Work alongside an excellent, cross-functional team across Engineering, Product and Design
• create solutions and try various algorithms to solve the problem.
• Stakeholder Management

• Masters with specialisation in Technology
• 10- 15 years relevant of Hands-on Experience

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Standard Chartered