TENB Fintech

Job Title : Lead AI/ML Engineer Fintech& Generative AI InnovationLocation : GurgaonEmployment Type : Full-TimeExperience Level : 4+ years in AI/ML (2+ years with LLMs/GenAI preferred)Department : Data Science & AI EngineeringAbout 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 GenerativeAI 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. (ref:hirist.tech)