Technology Architect | Java | Springboot
Expedite Talent Solutions · New York, NY · 2 days ago
On-siteOTHRFull-time
About the role
Design and develop AI/ML solutions using supervised, unsupervised, deep learning, NLP, time series forecasting, and anomaly detection techniques to address business challenges. Build Generative AI applications leveraging LLMs, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and AI agent frameworks. Experience of working for banking domain.
Responsibilities
- Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement.
- Work with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools like Spark, Databricks, or Microsoft Fabric.
- Implement MLOps best practices, including CI/CD pipelines, model governance, explainability, monitoring, Docker-based containerization, and Kubernetes orchestration.
- Deploy AI models through APIs and microservices, ensuring seamless integration with enterprise applications, systems, and cloud platforms.
- Utilize cloud-based AI services on Azure or AWS, including platforms such as Azure Machine Learning and Amazon SageMaker.
- Collaborate with business and technology stakeholders to translate business requirements into scalable AI solutions while tracking ROI and value realization.
- Contribute to AI innovation and best practices through reusable frameworks, AI copilots, semantic models, knowledge graphs, LangChain/Semantic Kernel orchestration, and synthetic data techniques.
Required qualifications
- 5+ years of relevant experience; 10+ years of overall experience
- Strong programming expertise in Python and SQL
- Hands-on experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, SpaCy, and NLTK
- Experience with AI, Python
Preferred skills
- Java Springboot
- Angular
Work location & schedule
New York, NY / Pittsburgh, PA / Lake Mary, FL – Hybrid (2-4 days a week work from office). Contract duration: 12 months. Target start date: 14 Sep 2026.