Job Description

Requisition Number:

35497

Job Location:

Chennai, IND

Work Type:

Hybrid Working

Employment Type:

Permanent

Posting Start Date:

12/01/2026

Posting End Date:

02/02/2026

Job Summary

The MLOps Engineer will be responsible for deploying data scientist's model and make it accessible to the software that utilizes it. Responsibilities include - deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations.

Key Responsibilities

Business

Proficiency in data modelling and ETL processes Basic understanding of use cases of the business domai

Processes

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

Risk Management

Compliance to Risk management Framework

Governance

Partner with Data Analyst / Report Designer to identify solutions Partner with key stakeholders to draw up and agree implementation plans

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

AI Solution teams

Skills and Experience

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.

Role Specific Technical Competencies

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

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.