Title : AI/ML Engineer with Python
Location : New York, NY - Hybrid
Duration : 12 months
Position : W2 Position
Rate :$60/hr on W2
Relevant Experience (in Yrs.): 10+
Detailed 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.
· Experience of working for banking domain
· Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement.
· Demonstrate strong programming expertise in Python and SQL, with hands-on experience in ML libraries such as Scikit-learn, Tensor Flow, PyTorch, Hugging Face, SpaCy, and NLTK.
· Work with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools like Spark, Data bricks, or Microsoft Fabric.
· Implement MLOps best practices, including CI/CD pipelines, model governance, explain ability, monitoring, Docker-based containerization, and Kubernetes orchestration.
· Deploy AI models through APIs and micro services, 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 Sage Maker.
· 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, Lang Chain/Semantic Kernel orchestration, and synthetic data techniques
Have Skills
· AI
· Python
· Banking Domain Experience
· MLOp
· LLM / RAG
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