AI/ML & Generative AI Engineer

AI/ML & Generative AI Engineer – Banking Domain

Employment Type: W2 or 1099…….. (No C2C)

Visa:H4EAD ,Green Card, US Citizens (Only USA Applicants)

Location: , NewJersy , Orlando , Pittsburg (Hybrid)

Job Summary

We are looking for an experienced AI/ML & Generative AI Engineer with strong expertise in machine learning, generative AI, MLOps, and cloud technologies to design and implement scalable AI solutions for the banking and financial services domain .

The ideal candidate will have hands-on experience building end-to-end AI/ML solutions, including traditional machine learning, deep learning, NLP, time-series forecasting, anomaly detection, LLM applications, RAG, AI agents, and MLOps. The candidate should be proficient in Python and SQL and experienced with modern AI/ML frameworks, cloud platforms, data engineering ecosystems, and enterprise application integration.

Key Responsibilities

• Design and develop AI/ML solutions using supervised and unsupervised learning, deep learning, NLP, time-series forecasting, and anomaly detection techniques.
• Build Generative AI applications using LLMs, prompt engineering, fine-tuning, RAG, and AI agent frameworks.
• Apply AI/ML technologies to solve complex banking and financial services business problems .
• Develop and maintain end-to-end AI/ML pipelines , including data ingestion, preprocessing, model training, validation, deployment, monitoring, and continuous improvement.
• Build scalable AI solutions using Python and SQL and modern machine learning libraries.
• Work with large-scale data ecosystems including ETL pipelines, data lakes, data warehouses, and streaming platforms .
• Leverage technologies such as Apache Spark, Databricks, and Microsoft Fabric for large-scale data processing and analytics.
• Implement MLOps best practices , including CI/CD, model versioning, governance, explainability, monitoring, and automated model deployment.
• Containerize AI/ML applications using Docker and deploy workloads using Kubernetes .
• Develop and expose AI/ML models through REST APIs and microservices for integration with enterprise applications.
• Deploy and manage AI/ML workloads using AWS and/or Azure , including platforms such as Amazon SageMaker and Azure Machine Learning .
• Collaborate with business, data, engineering, architecture, security, and technology stakeholders to translate requirements into scalable AI solutions.
• Measure and communicate AI solution ROI, business value, performance, and value realization .
• Develop reusable AI frameworks, accelerators, and components to improve development efficiency.
• Build AI copilots and intelligent applications using LangChain, Semantic Kernel, and AI agent orchestration frameworks .
• Contribute to semantic models, knowledge graphs, and enterprise AI solutions .
• Explore and implement synthetic data generation techniques where appropriate.
• Establish and promote AI engineering, MLOps, governance, security, and responsible AI best practices.

Required Skills & Experience

• 5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field.
• Strong experience working in the banking or financial services domain .
• Strong programming skills in Python and SQL .
• Hands-on experience with Scikit-learn, TensorFlow, PyTorch, Hugging Face, SpaCy, and/or NLTK .
• Strong understanding of machine learning algorithms and statistical modeling.
• Experience with supervised/unsupervised learning, deep learning, NLP, forecasting, and anomaly detection .
• Hands-on experience developing Generative AI and LLM-based applications .
• Experience with prompt engineering, RAG, LLM fine-tuning, embeddings, vector databases, and AI agents .
• Experience developing and managing end-to-end ML pipelines .
• Strong understanding of MLOps, model governance, model monitoring, explainability, and CI/CD .
• Experience with Docker and Kubernetes .
• Experience working with Spark, Databricks, Microsoft Fabric, or similar large-scale data platforms .
• Hands-on experience with AWS and/or Azure AI/ML services .
• Experience with Amazon SageMaker and/or Azure Machine Learning is highly desirable.
• Experience building **APIs, microservices, and enterprise…