TL;DR

Senior Staff Engineer (Machine Learning): Designing, developing, and deploying machine learning models and GenAI solutions for BFSI use cases with an accent on LLM architecture, fine-tuning, and RAG systems. Focus on implementing MLOps pipelines, ensuring model governance, and optimizing ML and GenAI systems for performance and scalability.

Company

%hirify_global% is a Digital Product Engineering company with over 17,500 experts across 39 countries, building inspiring and delightful products, services, and experiences.

What you will do

Design, develop, and deploy machine learning models for BFSI use cases such as credit scoring, fraud detection, and churn prediction.
Build GenAI and NLP solutions using Python, PyTorch, TensorFlow, Hugging Face, and LangChain.
Develop LLM-based applications including fine-tuning (LoRA, PEFT, prompt tuning) and RAG pipelines using vector databases.
Implement MLOps pipelines using CI/CD, MLflow, Docker, and Kubernetes.
Build scalable REST/GraphQL APIs using FastAPI, Flask, or similar frameworks.
Design and deploy conversational AI workflows using Dialogflow, Rasa, or Microsoft Bot Framework.
Ensure strong model governance, compliance, explainability (SHAP, LIME), and data security practices.

Requirements

7.5+ years of hands-on experience in Machine Learning / AI Engineering.
Proven delivery experience in BFSI, especially in GenAI solutions.
Strong proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
Deep understanding of LLM architecture, transformers, embeddings, and tokenization.
Experience with LLM fine-tuning, RAG systems (Pinecone, FAISS, Weaviate, Chroma), LangChain, LlamaIndex, DSPy, and Semantic Kernel.
Experience with AWS, Azure, GCP and AI services like AWS Bedrock, Azure OpenAI, and Vertex AI.
Experience with OpenSearch / ElasticSearch and vector search.
Strong grounding in model evaluation, benchmarking, and hallucination detection.
Ability to design production-ready ML systems.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Culture & Benefits

Dynamic and non-hierarchical work culture.
Opportunity to work at scale across all devices and digital mediums.
Join a company with 17,500+ experts across 39 countries.