Staff Machine Learning Engineer

q2ebanking· Q2 India
Apply Now ↗
📍 Bangalore, IndiaFull time
Full timeQ2 India

About this role

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

SUMMARY

The Staff Machine Learning Engineer is a technical leader responsible for designing, building, and scaling production-grade AI systems that drive measurable business impact. This role goes beyond model development to owning end-to-end AI solutions—from problem definition through deployment, adoption, and continuous improvement.

Operating within the AI Producer model, this role partners with Product, Engineering, and Delivery teams to translate high-value opportunities into scalable AI capabilities, including agentic workflows and GenAI-powered systems.

RESPONSIBILITIES • Design and implement machine learning algorithms and models for various business applications • Conduct research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI and machine learning trends • Ensure the quality and performance of AI systems through testing and validation • Provide technical guidance and mentoring to junior engineers EXPERIENCE AND KNOWLEDGE • Bachelor’s degree in related field and 9–12 years relevant experience • Proven experience in ML model development and deployment • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies • Proficiency in programming languages such as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • Familiarity with cloud platforms and scalable computing resources • Strong analytical, problem-solving, and collaboration skills

This position requires fluent written and oral communication in English.

Health & Wellness

  • Hybrid Work Opportunities

  • Flexible Time Off 

  • Career Development & Mentoring Programs 

  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents 

  • Community Volunteering & Company Philanthropy Programs 

  • Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact—in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.

Frequently Asked Questions

Is the salary disclosed for the Staff Machine Learning Engineer position at q2ebanking?
The salary for this Staff Machine Learning Engineer role at q2ebanking is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Staff Machine Learning Engineer position at q2ebanking located?
This Staff Machine Learning Engineer role at q2ebanking is based in Bangalore, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Staff Machine Learning Engineer role at q2ebanking full-time or part-time?
This is listed as a Full time position. It is posted as a Staff Machine Learning Engineer role in the Q2 India department at q2ebanking.
Which team or department does the Staff Machine Learning Engineer at q2ebanking belong to?
This Staff Machine Learning Engineer position is part of the Q2 India department at q2ebanking. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff Machine Learning Engineer position at q2ebanking?
Click the "Apply Now" button on this page. You will be redirected to q2ebanking's official application portal hosted on workday where you can submit your application directly.
When was the Staff Machine Learning Engineer job at q2ebanking posted?
This Staff Machine Learning Engineer position at q2ebanking was posted on Aug 11, 2026. Apply as soon as possible — early applications are often reviewed first.
Staff Machine Learning Engineer
q2ebanking
Apply for this role ↗

You'll be redirected to q2ebanking's official application page on Workday.