Job Title : Lead AI/ML Engineer Fintech& Generative AI Innovation

Location : Gurgaon

Employment Type : Full-Time

Experience Level : 4+ years in AI/ML (2+ years with LLMs/GenAI preferred)

Department : Data Science & AI Engineering

About Ambak.com :

Ambak.com is a fast-growing fintech platform on a mission to transform how businesses and individuals access credit and financial services. We leverage AI, big data, and cloud-native technologies to deliver secure, scalable, and intelligent financial solutions.

As part of our next growth phase, we are building AI-first capabilities across risk modeling, fraud detection, intelligent automation, and customer experience - powered by Generative

AI and Large Language Models (LLMs). This is your opportunity to shape the AI strategy from the ground up, working with cutting-edge technologies and seeing your work directly impact thousands of businesses.

Why This Role is Special :

- Greenfield + Impact : Build GenAI-powered financial solutions from scratch with minimal legacy baggage.

- Enterprise-grade Scale : Your models will power risk, fraud, and personalization systems used in high-stakes fintech environments.

- Innovation at Core : From RAG pipelines to fine-tuned LLMs, youll explore and deploy the latest AI techniques.

- End-to-End Ownership : From idea to production - data pipelines, modeling, compliance, and observabilityyoull drive the full cycle.

- Leadership Opportunity : As a lead, youll mentor engineers and shape the AI roadmap for Ambak.com.

Key Responsibilities :

- AI/ML Development : Architect and implement advanced ML systems for fraud detection, credit scoring, personalization, and risk modeling.

- Generative AI Solutions : Build and deploy LLM-powered tools for financial document summarization, chatbot automation, KYC workflows, and customer support.

- LLM Experimentation : Work with OpenAI, Claude, LLaMA, Mistral, etc. - covering prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG).

- MLOps & Deployment : Own CI/CD for models, scalable serving, monitoring, and explainability (using MLflow, Kubeflow, or GCP/AWS/Azure ML stacks).

- Cross-Functional Collaboration : Partner with product, compliance, and engineering teams to embed AI responsibly into fintech journeys.

- Model Governance : Ensure fairness, bias mitigation, explainability (XAI), and adherence to financial regulatory standards.

- Team Leadership : Mentor junior engineers and data scientists, fostering a high-performance AI culture.

Required Qualifications :

- Bachelors or Masters in Computer Science, AI/ML, or a related field.

- 4+ years building & deploying ML models in production, preferably in fintech or high-traffic domains.

- Strong skills in Python, TensorFlow/PyTorch, and cloud ML services (GCP, AWS, or Azure).

- Hands-on expertise with LLMs, transformers, NLP techniques, embeddings, RAG pipelines, and vector databases (FAISS, Pinecone, Weaviate).

- Understanding of data privacy, compliance, fairness, and governance in AI for financial applications.

Preferred Qualifications :

- Prior experience with fintech AI use-cases (fraud, risk, credit scoring, personalization).

- Exposure to LangChain, Hugging Face, OpenAI APIs.

- Experience with MLOps stacks (MLflow, SageMaker, Vertex AI, Kubeflow).

- Contributions to AI research, open-source projects, or technical blogs/papers.

What Success Looks Like in 6 Months :

- Delivered at least 2 production-grade AI/GenAI systems impacting customer experience or financial operations.

- Established scalable, compliant, and monitored ML pipelines.

- Built a strong AI/ML engineering foundation for Ambak.coms long-term roadmap.

- Actively mentored team members and elevated AI culture across the org.

Benefits & Perks :

- Competitive compensation + performance-linked bonuses.

- Opportunity to shape the AI roadmap in a high-growth fintech.

- Learning budget for AI/ML courses, conferences, and certifications.

- Flexible work culture with deep focus on innovation and execution.

- Direct collaboration with leadership and visibility into strategy.