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About Us : Stitch is a visionary technology company committed to empowering businesses through our homegrown SaaS and API-driven platform.
Our mission is to simplify money movement processes, enhance profitability, and deliver seamless experiences for our clients and their customers.
We strive to eliminate complexities and create innovative solutions for a better tomorrow.
About Us : Stitch is a visionary technology company committed to empowering businesses through our homegrown SaaS and API-driven platform. Our mission is to simplify money movement processes, enhance profitability, and deliver seamless experiences for our clients and their customers. We strive to eliminate complexities and create innovative solutions for a better tomorrow.
About the Role:
The AI / ML Engineer builds intelligent systems that power fraud detection, credit risk modelling, transaction monitoring, and financial automation. The role also involves developing LLM-enabled solutions and AI-driven automation integrated with fintech platforms.
What will you be doing?
Develop machine learning models for fraud detection and credit risk analysis.
Implement transaction anomaly detection models.
Design pipelines for model training, evaluation, and deployment.
Integrate AI models with fintech systems via APIs.
Implement LLM-based automation for financial insights and workflows.
Monitor model performance andmaintainretraining pipelines.
Tech Stacks?
Core: Python (expert), SQL, system design, strong SWE fundamentals
ML: PyTorch, Hugging Face Transformers, scikit-learn,XGBoost
LLM/GenAI : RAG in production (chunking, hybrid retrieval, reranking, eval)LangChain/LangGraph/LlamaIndex Fine-tuning with LoRA/QLoRA, PEFT, TRL Anthropic / OpenAI APIs and open-weight models (Llama, Qwen, Mistral)
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Vector DBs: Pinecone,Weaviate,Qdrant, orpgvector
Inference: vLLM,FastAPI, quantization (GPTQ/AWQ/GGUF)
MLOps: MLflowor W&B, Docker, Kubernetes, CI/CD, Airflow
Cloud: AWS, GCP, or Azure (one deep)
Eval: LangSmith/LangFuse, Ragas, LLM-as-judge
Who are you?
FintechExperience in banking applications, payments, lending, or financial workflows will be preferred
Bachelor’s degree in computer science, Engineering, or related field
Why Join Us?
Be part of a fast-growing company driving innovation in financial technology.
Work on challenging and cutting-edge projects that make a real impact.
Opportunity to lead and mentor a talented team of developers.
Collaborative and inclusive work environment with a focus on growth and development.
Verified company details for this employer are not available yet.
Full-time
Mid
Onsite
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