MLOps Engineer

Job ID: 35497

Location: Chennai, IN

Area of interest: Technology

Job type: Regular Employee

Work style: Office Working

Opening date: 23 Jul 2025

• Strategize, plan and deliver MLOps initiatives by liaising with key business stakeholders
• Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements
• Create infra and architecture diagrams
• Ability to project manage, allocate activities to junior ML engineers and take it to closure
• Improvise coding practices, support code reviews and bring in best practices for model management
• Provide thought leadership in terms of new technologies and tools, suggest improvements
• Able to support in the interview process to hire junior and senior ML engineer

• 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

• AI Solution teams

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field

• Experience:
• Proven experience as a Data Engineer or in a similar role for 6+ years.
• Hands-on experience with data pipeline and workflow management tools
• Proficiency in SQL and experience with relational databases
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with data warehousing solutions

• Technical Skills:
• Strong programming skills in Python.
• Knowledge of data modelling, data warehousing, and database design.
• Experience with version control systems (e.g., Git).
• Understanding of data security and privacy principles

• Soft Skills:
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.
• Attention to detail and a commitment to delivering high-quality work.

• SQL, Python
• Basic statistics
• Cloud Platforms (AWS& Azure)
• Data Modeling
• Project management skills
• Agile methodologies, SCRUM

• 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

• 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.