Full Stack AI Engineer – Python + Java + Angular W2 role

BURGEON IT SERVICES LLC

New York (NY)

Híbrido

USD 68 000 - 97 000

Tempo integral

Há 3 dias
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Resumo da oferta

BURGEON IT SERVICES LLC is seeking an experienced AI/ML Engineer to design and develop advanced AI/ML solutions for financial services clients. The role focuses on end-to-end pipeline development, model deployment, and ongoing optimization using Python and leading ML libraries.

Ideal candidates will have 5+ years in AI/ML, experience with generative AI, and familiarity with data ecosystems, across Azure or AWS platforms. Hybrid work arrangement with 2–4 days in the office is offered.

Qualificações

  • Minimum 5 years of relevant AI/ML experience.
  • Strong programming in Python with ML libraries (Scikit-learn, TensorFlow, PyTorch, Hugging Face).
  • Experience building AI/ML pipelines, data lakes/warehouses, ETL, and cloud deployment.
  • Experience with MLOps, CI/CD, model governance, monitoring, and containers (Docker/Kubernetes).
  • Familiarity with Azure or AWS AI services (Azure ML, SageMaker).

Responsabilidades

  • Design and develop AI/ML solutions for business challenges.
  • Build Generative AI applications using LLMs, prompt engineering, fine-tuning, RAG, and AI agent frameworks.
  • Develop end-to-end AI pipelines: ingestion, preprocessing, training, deployment, monitoring.
  • Deploy AI models via APIs and microservices integrated with enterprise systems.
  • Collaborate with stakeholders to translate requirements into scalable AI solutions.

Conhecimentos

AI
Python

Ferramentas

TensorFlow
PyTorch
Scikit-learn
Hugging Face
SpaCy
NLTK
Spark
Databricks
Microsoft Fabric

Descrição da oferta de emprego

New York, NY/Pittsburgh, PA/Lake Mary, FL (Hybrid — 2-4 days’ a week work from office) Vendor Rate: 60 Contract duration: 12 months Target Start Date:

Interview Process (Is face to face required?) Video mode

Job Details:

Minimum years of experience required: 5 years of relevant experience; 10 years of overall experience Certification needed: No Must Have Skills: AI, Python Nice to Have Skills: Java Springboot, Angular

Detailed Job Description:

  1. 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.

  3. 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.

  4. 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.

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

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

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

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

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

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

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