Lead ML Engineer

Job ID: 43279

Location: Chennai, IN

Area of interest: Technology

Job type: Regular Employee

Work style: Office Working

Opening date: 3 Nov 2025

Key Responsibilities

• Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch
• Hands on development and deployment of GenAI / LLM based solutions
• 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
• Understanding of LLM architecture and ability to visualize end to end flow
• 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 models, 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 / GenAI 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.
• 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

Qualifications

• Masters with specialisation in Technology with certification in AI and ML
• 10-15 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
• Use GenAI, LLM's as applicable to solutionize use cases

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.