Sr. AI Engineer

Wise Skulls Corp.; Pittsburgh (Allegheny County); Hybrid; USD 140,000 - 190,000; Part time

Job summary

Wise Skulls Corp. is seeking a Sr. AI Engineer for a 6-month engagement in Pittsburgh, PA or New York, NY (4 Days onsite).

The role requires 5+ years of relevant experience and hands-on Python/AI expertise. Banking domain experience is a plus, with responsibilities spanning model development, deployment, and MLOps across enterprise systems. The candidate will build AI/ML solutions, leverage LLMs, manage data pipelines, and ensure scalable integration with cloud platforms.

Qualifications

• Minimum 5 years of relevant experience; 10 years of overall experience.
• Strong AI and Python proficiency required.

Responsibilities

• Design and develop AI/ML solutions (supervised/unsupervised/deep learning, NLP, time series, anomaly detection).
• Build Generative AI applications leveraging LLMs, prompting, fine-tuning, RAG, AI agents.
• Develop and maintain end-to-end AI pipelines (data ingestion to deployment and monitoring).
• Deploy models via APIs and microservices, with cloud platform integration (Azure/AWS).
• Implement MLOps best practices (CI/CD, model governance, explainability, monitoring, Docker/Kubernetes).
• Collaborate with stakeholders to translate business needs into scalable AI solutions.

Skills

AI

Python

Tools

Java Springboot

Angular

Job description

Title: Sr. AI Engineer

Duration: 6 months (possibility of an extension)

Location: Pittsburgh, PA or New York, NY (4 Days onsite)

JD:

• Minimum years of experience required: 5 years of relevant experience; 10 years of overall experience
• Must Have Skills: AI, Python
• Nice to Have Skills: Java Springboot, Angular

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.
• 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, TensorFlow, 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, 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

Location: Pittsburgh, PA or New York, NY (4 Days onsite)