3+ years of experience developing and deploying AI / machine learning solutions
Demonstrated experience deploying AI systems into production environments
Experience collaborating with cross-functional teams to translate business requirements into scalable AI solutions
Experience mentoring, training, or enabling other developers, analysts, or business users on AI tools, models, or best practices
Core Technical Skills:
Strong proficiency in Python for AI and machine learning development
Hands-on experience with ML frameworks and libraries such as PyTorch, TensorFlow, and scikit-learn
Experience with NLP and document-centric AI, including: OCR and document processing, Document classification and entity extraction, Text summarization
Solid experience with data preprocessing, feature engineering, and analysis using tools such as: Pandas, NumPy, Matplotlib, Seaborn
Experience working with cloud-based AI platforms, preferably Microsoft Azure or AWS
Proficiency in SQL and experience with relational and/or NoSQL databases
Familiarity with containerization technologies such as Docker and/or Kubernetes
Familiary with building LLM-based solutions: Chatbots and conversational AI, Prompt engineering and evaluation, Retrieval-Augmented Generation (RAG), Intelligent or semantic search
Exposure to MLOps practices, including: CI/CD pipelines for ML models, Model versioning, deployment automation, and monitoring
Familiarity with REST API development and integrating AI capabilities into backend systems
Experience contributing to shared AI components, development standards, or reference architectures
