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AI/ML Engineer – Generative AI & Banking

ASCII Group LLCNew York, NY🇺🇸United StatesPosted Oct 20, 2026

Quick Overview

Salary
$57/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
21 hours ago
DockerMicroservicesSQLAWSETLMLOpsNLPScikit-learnAngularDatabricksDeep LearningHugging FaceJavaPyTorchPythonTensorFlowGenerative AIAzureKubernetesMachine LearningPrompt EngineeringCI/CDLangChainRAG

Job Description

Hi,
Title                                      : AI/ML Engineer – Generative AI & Banking
Location                              : Pittsburgh, PA New York, NY Lake Mary, FL (Hybrid)
Duration                              : 12  Months Contract
Rate                                     : $57/Hr On W2
Relevant Experience         : 10+

Job Description:

Design and develop AI/ML solutions using supervised, unsupervised, deep learning, NLP, time series forecasting, and anomaly detection techniques to address business challenges.

2. Build Generative AI applications leveraging LLMs, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and AI agent frameworks.

1. Experience of working for banking domain

2. Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement.

3. Demonstrate strong programming expertise in Python and SQL, with hands-on experience in ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, SpaCy, and NLTK.

4. Work with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools like Spark, Databricks, or Microsoft Fabric.

Key Responsibilities

Implement MLOps best practices, including CI/CD pipelines, model governance, explainability, monitoring, Docker-based containerization, and Kubernetes orchestration.

6. Deploy AI models through APIs and microservices, ensuring seamless integration with enterprise applications, systems, and cloud platforms.

7. Utilize cloud-based AI services on Azure or AWS, including platforms such as Azure Machine Learning and Amazon SageMaker.

8. Collaborate with business and technology stakeholders to translate business requirements into scalable AI solutions while tracking ROI and value realization.

9. Contribute to AI innovation and best practices through reusable frameworks, AI copilots, semantic models, knowledge graphs, LangChain/Semantic Kernel orchestration, and synthetic data techniques

Nice to Have Skills: Java Springboot, Angular

Must-Have Skills:

  • AI ML Engineer Generative AI & Banking
  • Java Springboot
  • Angular
  • AI orchestration
  • MLOps

Thanks & Regards

Sara Sai Aakash
Technical Recruiter
ASCII Group, LLC
Mobile:

Email:

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38345 W. 10 Mile Rd, Ste.#365; Farmington, MI  48335 

Website:  

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Certified MWBE | WBE | MBE | WOSB | CPUC | E- verify employer 

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