Skip to content
mimi
All jobs · Machine Learning Engineer jobs

AI Engineer with Strong financial and banking domain

Jobs via Dice

New York · On-site Full-time 1mo ago
Apply with a tailored resume Save job

About the role

Role Overview

An AI Engineer is responsible for designing, building, deploying, and optimizing AI, Machine Learning, and Generative AI solutions that solve real business problems. This role bridges data, models, and applications, ensuring AI solutions are scalable, reliable, and production‑ready.

Required Technical Skills

Programming & Frameworks

  • Strong proficiency in Python
  • NumPy, Pandas, Scikit‑learn, TensorFlow, PyTorch, spaCy, NLTK
  • Experience building production‑grade AI pipelines

AI / ML / GenAI

  • LLMs and Generative AI
  • NLP techniques
  • RAG architectures
  • Embeddings (Word2Vec, GloVe, ELMo)
  • Vector databases

Cloud & Tools

  • Azure OpenAI / AWS Bedrock
  • HuggingFace ecosystem
  • LangChain
  • Model fine‑tuning and evaluation tools

Skills

AWS BedrockEmbeddingsGloVeHuggingFaceLangChainLLMsLongformModel fine-tuningNLTKNumPyPandasPyTorchPythonRAGScikit-learnspaCyTensorFlowVector databasesWord2VecAzure OpenAIGenerative AINLPAI pipelines

Similar roles

AI Forward Deploy Engineer

Arango

DevSecOps Engineer - Artifact Management & Software Supply Chain Security

S&P Global

$125k – $165k/yr

DevSecOps Engineer – CI/CD & Application Security

S&P Global

$125k – $165k/yr

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free