Lead - Ml Engineer

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 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 40290