Artificial Intelligence Engineer

19 hours ago

haryana, India Ambak Full time

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, you’ll explore and deploy the latest AI techniques. End-to-End Ownership: From idea to production—data pipelines, modeling, compliance, and observability—you’ll drive the full cycle. 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.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.com’s long-term roadmap. Actively mentored team members and elevated AI culture across the org.

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