Job Summary

•    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
•    Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
•    Design and develop prompts suiting project needs
•    Lead and manage team of prompt engineers
•    Stakeholder management across business and domains as required for the projects
•    Evaluating base models and benchmarking performance
•    Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
•    Develop, deploy and maintain auto prompt solutions
•    Design and implement minimum design standards for every use case involving prompt engineering

Key Responsibilities

Strategy
As the ML Engineer of AI ML Delivery team, the candidate is expected to solutionise, Develop Models and Integrate pipeline for Delivery of AIML Use cases. 

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 terms of project assignments and deadlines
•    Work with the team dedicated for models related unstructured and structured data.

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 the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * 
•    Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
•    [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation].
[Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries]
•    Serve as a Director of the Board of [insert name of entities]
•    Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) 

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

Skills and Experience

• 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 Managemen

Must have:
 
Hands on experience in Kubernetes and Docker
Hands on in Azure Cloud  services (VMSS, Blob, AKS, Azure LB)
Azure Devops tools CI/CD
Hands on in Terraform
 
Good to have:
  Azure OpenAI
  Grafana and monitoring

Qualifications

•    Masters with specialisation in Technology 
•    8- 12 years relevant of Hands-on Experience
•    Strong proficiency with Python, DJANGO framework and REGEX
•    Good understanding of Machine learning framework Pytorch and Tensorflow
•    Knowledge of Generative AI and RAG Pipeline
•    Good in microservice design pattern and developing scalable application.
•    Ability to build and consume REST API
•    Fine tune and perform code optimization for better performance.
•    Strong understanding on OOP and design thinking
•    Understanding the nature of asynchronous programming and its quirks and workarounds
•    Good understanding of server-side templating languages
•    Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
•    Integration of APIs, multiple data sources and databases into one system
•    Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
•    Understanding fundamental design principles behind a scalable and distributed application
•    Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
•    Implementing automated testing platforms, unit tests, and CICD Pipeline

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• 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

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• 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.