ML Engineer

Key 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
  
  

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
  
  

Governance

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

Key stakeholders

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

Qualifications

• Masters with specialisation in Technology with certification in AI and ML
• 2 - 7 years relevant of Hands-on Experience in developing and delivering AI solutions
  
  

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 Management
  
  

About Standard Chartered

Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve 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 youre 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 cant 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, youll 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.

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