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Urgent! AI/ML Engineer (machine learning) Job Opening In Hyderabad – Now Hiring Prefr (Formerly CreditVidya)
About the Role
We are looking for a passionate and technically strong AI/ML Engineer to join our core team driving the intelligence behind our lending platform.
This is a role where you'll build high-performance ML frameworks, scale decision systems, and lay the foundation for the next evolution: agentic AI systems that autonomously extract insights, support business decisions, and power internal copilots.
If you are someone who enjoys solving hard problems at the intersection of software engineering and ML, and are excited about the future of AI agents in real-world systems, we want to hear from you.
What You'll Do
● Own and evolve core frameworks powering the loan decision-making process across the company
● Design, develop, and optimize scalable ML infrastructure and software frameworks that integrate seamlessly with production systems
● Partnering with senior engineers and domain leads to lay groundwork for agentic systems – from auto-insight generation to internal decision copilots (e.g., AI for BI)
● Help develop data and model lifecycle: from ingestion and feature engineering to deployment and monitoring
● Build generalized systems that support multi-tenant use across verticals be it policy or data for analytics
● Continuously monitor production performance to ensure that live systems behave as expected, and proactively propose improvements
● Document learnings, scale reusable patterns, and drive adoption of best practices in ML system design
You should apply if you
● Have 4+ years of experience building production-grade software systems in Java / Scala / Python
● Have familiarity with ML lifecycle and deployment practices, even if not deep modeling experience
● Exhibit deep business understanding by translating technical capabilities into impactful solutions, ensuring that frameworks contribute directly to business outcomes
● Are comfortable working in a fast-paced, startup environment and taking end-to-end ownership
● Possess a strong sense of compounding, capable of building modular, iterative solutions that grow in capability over time, especially in the context of Agentic AI frameworks
Must Have
● 3+ Hands-on experience with developing frameworks from scratch: SDKs, or platforms that serve multiple internal teams
● Strong grasp of OOP design, system architecture, and ML pipeline design
● Demonstrated ability to take a messy real-world problem and build reliable, scalable systems around it
● Builds both production-grade systems and internal frameworks that enhance team productivity, with a focus on delivering overall impact
● Proven ability to work in a cross-functional environment comprising of Data Scientists, Business Analysts, Product managers and Data Engineers
Nice to have
● Exposure to agentic or autonomous systems (e.g., LangGraph, CrewAI, AutoGPT-style architectures)
● Experience with internal tools like AI copilot builders, dashboarding frameworks, or data storytelling systems
● Prior work in Fintech, especially in lending, credit risk, or collections workflows
● Experience with distributed data processing tools like Apache Spark for Pipeline setup
● Academic background from top-tier institutions (IIT/NIT/BITS/etc.)
Success Metrics
● Build frameworks that consistently perform as expected in production environments, minimizing downtime and firefighting
● Develop tools and systems that measurably increase the productivity and velocity of teammates across data, engineering, and product functions
● Design solutions that are scalable, highly configurable, and easy to adapt to evolving business requirements — reducing turnaround time for changes.
● Lay robust foundations that enable the organization to transition towards Agentic AI adoption — through modular, interoperable, and forward-compatible systems
✨ Smart • Intelligent • Private • Secure
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Unlock Your AI ML Potential: Insight & Career Growth Guide
Real-time AI ML Jobs Trends in Hyderabad, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI ML in Hyderabad, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 112540 jobs in India and 3147 jobs in Hyderabad. This comprehensive analysis highlights market share and opportunities for professionals in AI ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Prefr (Formerly CreditVidya) is currently hiring and seeking a AI/ML Engineer (machine learning) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI/ML Engineer (machine learning) Jobs Hyderabad.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Prefr (Formerly CreditVidya) adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI/ML Engineer (machine learning) Jobs India varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI/ML Engineer (machine learning) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your AI/ML Engineer (machine learning) interview at Prefr (Formerly CreditVidya), research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Prefr (Formerly CreditVidya)'s products or services and be prepared to discuss how you can contribute to their success.
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