Staff ML Engineer

About Angel One:

Angel One is one of Indias fastest growing fin-techs, on a bold mission to make investing simple, smart, and inclusive for every Indian. With over 3+ crore clients, were building at scale and building for impact.

Our Super App helps clients manage their investments, trade seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science.

We're a builder's company at heart. Youll have the space to experiment, the freedom to move with velocity, and the mandate to make bold, user-first decisions every single day.

The vibe? Think less hierarchy, more momentum. Everyone has a seat at the table and a shot to build something that lasts.

Be part of a team thats scaling sustainably, thinking big, and building for the next billion.

Why You'll Love Working at Angel One!

• Tech Systems that run at Scale: From AI to real-time data infra, youll work on tech thats ahead of the curve and solve problems that truly matter.
• Build one of Indias Leading Fintech Platform: Were not just disrupting finance were shaping how billion Indians access wealth.
• Own It. Drive It. Scale It: Youll have the freedom to lead, the resources to build, and the opportunity to leave your mark.
• Empowered Growth: We invest in your growth and empower you to explore your full potential.
• Exceptional Benefits: Our comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more.

Role: Staff ML Engineer

Location: Bangalore (Hybrid)

As a Staff ML Engineer, you are a senior technical leader who shapes the ML engineering

strategy and capabilities across the organization. You will tackle the most challenging technical

problems, drive innovation, and set the technical direction for ML initiatives. This role combines

deep technical expertise with strategic thinking and broad organizational impact

What you will do

Define and drive the technical vision and strategy for ML engineering across multiple

teams

Architect and lead implementation of organization-wide ML platforms, frameworks, and

infrastructure

Solve the most complex and ambiguous technical challenges in the ML domain

Establish technical standards, best practices, and guidelines that elevate engineering

quality org-wide

Partner with senior leadership to align ML initiatives with business strategy and

objectives

Mentor and develop senior engineers, fostering a culture of technical excellence and

innovation

Represent the organization externally through publications, conferences, and industry

engagement

Evaluate and introduce emerging technologies and methodologies to maintain

competitive advantage

Lead technical due diligence for partnerships, acquisitions, and strategic technology

decisions

Drive cross-organizational initiatives that improve ML development efficiency and

effectiveness

Who you are

Master's or PhD in Computer Science, Machine Learning, or related field preferred

8-12 years of progressive experience in ML engineering with significant leadership impact

Proven track record of architecting and delivering large-scale ML systems in production

Deep expertise across multiple ML domains (NLP, CV, Recommendations, etc.) and methodologies

Strong experience building ML platforms, infrastructure, and tooling at scale

Exceptional ability to influence technical direction without direct authority

Outstanding communication and presentation skills for technical and executive audiences

History of mentoring engineers and building high-performing technical teams

Extensive experience with Generative AI technologies including LLMs, foundation models, fine-tuning strategies, and production deployment of GenAI systems

Preferred Qualifications

Industry recognition through publications, patents, or significant open-source

contributions

Experience with cutting-edge ML technologies including LLMs, generative AI, and foundation models

Background in building ML organizations and defining career ladders for ML roles

Experience with regulatory compliance and responsible AI practices

Track record of successful cross-functional leadership on strategic initiatives

At Angel One, our thriving culture is rooted in Diversity, Equity, and Inclusion (DEI).

As an Equal opportunity employer, we wholeheartedly welcome people from all backgrounds irrespective of caste, religion, gender, marital status, sexuality, disability, class or age to be part of our team. We believe that everyone's unique experiences and viewpoints make us stronger together. Come and be a part of #OneSpace*, where your individuality is celebrated and embraced.