Vacancy description
NobleEdge Talent Advisory
India, Hyderabad
Senior ML Engineer - Generative AI/MLOps in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
Looking for immediate Joiners or short notice period candidatesRole Overview :We are looking for a Senior ML Engineer with 5+ years of experience to build, productionize, and operate ML and Generative AI solutions for our AI-powered investing advisor and wealth management https://jobeax.com/link/f5FQc9SxrVvnQKkz role combines ML Engineering, financial ML, GenAI, and MLOps/LLMOps, with ownership across the ML lifecycle - from experimentation and evaluation to deployment, monitoring, optimization, and continuous https://jobeax.com/link/DPiysjYX1KLnjeds Responsibilities :- Build and productionize ML and AI solutions for wealth management and investment use cases, including portfolio optimization, asset allocation, risk modeling, forecasting, investor personalization/recommendations, financial NLP, RAG, and AI agents.- Develop scalable ML/AI pipelines for training, evaluation, deployment, inference, monitoring, and retraining.- Own key aspects of MLOps/LLMOps, including CI/CD, automated testing, model/prompt versioning, deployment, monitoring, and lifecycle management.- Build LLM evaluation and observability capabilities covering quality, hallucination, reliability, latency, cost, and model/data drift.- Develop production-grade ML services, APIs, and inference systems using Python, FastAPI/Django, and LangGraph or similar frameworks.- Build and operate AI infrastructure using AWS, Hetzner, Docker, Terraform, and Jenkins.- Support self-hosted LLMs on GPU infrastructure, including model serving with vLLM/TGI and fine-tuning using LoRA/QLoRA.- Work closely with Data Scientists, Software Engineers, and Investment Domain Experts to take AI solutions from experimentation to production.- Ensure AI systems meet requirements for security, governance, privacy, model risk, reliability, and responsible https://jobeax.com/link/QPp34m7lEdgUcMNq & Key Skills :- Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or related field.- 5+ years of experience in ML Engineering, AI Engineering, MLOps, or related roles.- Strong Python and software engineering skills with experience building production ML/AI systems.- Hands-on experience with ML model development, deployment, monitoring, evaluation, and lifecycle management.- Experience applying ML to problems such as prediction/forecasting, classification, ranking/recommendation, risk modeling, optimization, or personalization.- Practical experience with LLMs, RAG, embeddings, vector databases, LLM evaluation, and AI agents.- Strong understanding of MLOps/LLMOps, CI/CD, Docker, Git, APIs, and automated testing.- Experience with AWS, Terraform, Jenkins, and production infrastructure.- Experience with GPU infrastructure and self-hosted LLM serving such as vLLM/TGI; exposure to LoRA/QLoRA is desirable.- Familiarity with MLflow, Langfuse, Airflow/Kubeflow, or similar tools.- Experience with FastAPI/Django and LangGraph is desirable.- Understanding of AI governance, security, data privacy, model risk, and responsible AI.- Experience in Banking & financial services, investment management, wealth management, or fintech is an https://jobeax.com/link/nFdDIiy3Rvd8PMto Stack : Python, ML/GenAI, RAG, LLMs, AI Agents, LangGraph, MLflow, Langfuse, FastAPI/Django, Jenkins, AWS, Hetzner GPU, Docker, Terraform, vLLM/TGI, LoRA/QLoRA (ref:hirist.tech)
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