AI/ML Engineer – Generative AI & Banking

Hybrid in New York, NY, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Cloud Computing
  • Continuous Delivery
  • Continuous Improvement
  • Continuous Integration
  • Apache Spark
  • Databricks
  • Deep Learning
  • Docker
  • Artificial Intelligence
  • Banking
  • Collaboration
  • Generative Artificial Intelligence (AI)
  • Data Warehouse
  • Extract, Transform, Load
  • Machine Learning (ML)
  • Forecasting
  • Innovation
  • Java
  • Kubernetes
  • LangChain
  • Microsoft
  • Microsoft Azure
  • NLTK
  • Natural Language Processing
  • Machine Learning Operations (ML Ops)
  • Management
  • Microservices
  • PyTorch
  • Return On Investment
  • Semantics
  • Streaming
  • LinkedIn
  • Orchestration
  • Prompt Engineering
  • Python
  • SQL
  • TensorFlow
  • Amazon Web Services
  • Training
  • scikit-learn
  • Time Series

Summary

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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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 9119816
  • Posted 5 hours ago
Contact the job poster
Arun Potula

Arun Potula

IT Recruiter @ ASCII Group LLC

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