About the role
About Vanguard
Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.
Vanguard’s India Office
Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.
Role Summary
This role performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Leverages detailed understanding of machine learning models and their deployment architecture. This role also includes creating data mining architectures, applying data science methodologies, and researching emerging data science techniques to identify trends and inform business decisions
Responsibilites
1. Develops complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency. Proficient in model development environments and coding best practices to enable model deployment.
2. Integrates and optimizes existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models. Proficient in SDLC processes and related tools and technologies.
3. Partners with data science teams to review model ready dataset document/feature documentation. Develops data model design and document and reviews for completeness with data science teams.
4. Partners with data science teams to understand data requirements, performs data discovery for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools.
5. Engages with internal stakeholders to understand and probe business processes and develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
6. Writes model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.
7. Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
8. Participates in special projects and performs other duties as assigned.
9. Designs and implements statistical analysis frameworks and protocols to uncover business trends across functions like marketing, supply chain, and economics.
10. Applies advanced data mining techniques to build scalable models for deriving actionable insights from large-scale data sets.
11. Explores and integrates evolving methodologies in machine learning and big data science to enhance decision-making strategies.
Qualifications and Skills
- Minimum 8+ years of experience in machine learning engineering or data science roles
- Bachelor’s degree (B.E./B.Tech) in Computer Science, Data Engineering, AI/ML, or related fields, or a Master’s degree/Diploma in Computer Science or Data Science
- Strong expertise in data pipeline development, statistical modeling, SDLC, AI/ML concepts, model monitoring, and stakeholder engagement across domains.
- Must have good experience in PySpark/Python, AWS (S3, Lambda, Glue, Sagemaker), ML pipeline deployment/ops, CI/CD.
- Nice to Have- ML monitoring/observability (Arize), Experience with AI Coding tools (Claude).
Location
This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered.
Our mission
Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Our commitment to you
Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:
Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.
Physical wellness
We're committed to providing benefits that support your physical health and wellness.
Personal wellness
We're committed to providing resources that help support the full scope of your life.
How we work
Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Skills & Tags
Aplyr's read
Vanguard is a leader in low-cost investment management, attracting those committed to long-term financial growth and innovation in client services.
What's promising
- •Vanguard offers a strong reputation for low-cost investment options.
- •Focuses on long-term strategies, appealing to investors seeking stability.
- •Diverse role opportunities in finance, risk management, and IT.
What to watch
- •Limited public information about internal culture and work-life balance.
- •Potentially slow career progression due to large organizational structure.
- •Highly competitive environment may not suit all candidates.
Why Vanguard
- •Pioneered the index fund, revolutionizing investment management.
- •Client-owned structure aligns company interests with investor success.
- •Significant emphasis on investor education and financial literacy.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Vanguard
Vanguard is an investment management company known for its low-cost mutual funds and ETFs, focusing on long-term investment strategies for individual and institutional investors.