Senior ML Engineer

RESPONSIBILITIES

• 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

Strategy

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

Business

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

Processes

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

People & Talent

• 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.

Risk Management

• 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.

Governance

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

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group's Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead to achieve the outcomes set out in the Bank's Conduct Principles
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

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

Qualification

• Masters with specialisation in Technology with certification in AI and ML
• 8- 12 years relevant of Hands-on Experience in developing and delivering AI solutions

Role Specific Technical Competencies

• 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