Collaborate with cross-functional teams to define and design AI solutions aligned with business objectives
Build, deploy, and maintain production-grade machine learning models and systems that drive efficiency and innovation across multiple departments
Ensure AI solutions meet performance, scalability, and reliability standards in a production environment
Continuously improve machine learning models through fine-tuning, retraining, and incorporating new data and feedback
Monitor and optimize the performance of deployed models and systems, implementing updates and resolving issues proactively
Work with the AI Solutions Architect to develop pipelines for automated retraining, testing, and deployment of AI models
Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment, orchestration, and monitoring
Implement and manage robust infrastructure to support AI applications, ensuring scalability and fault tolerance
Develop and maintain data pipelines for efficient data ingestion, preprocessing, and feature engineering
Conduct exploratory analyses to identify opportunities for AI innovation
Design and prototype solutions, validating feasibility through proof of concept (PoC) projects

Requirements

3+ years of experience in ML/AI development including production-environment deployments
Bachelor's degree or higher in a relevant field
Proficiency in Python and its machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Hands-on experience with data pipeline development, including data ingestion, preprocessing, and feature engineering
Experience with large language models (LLMs) and natural language processing (NLP), including prompt engineering and fine-tuning techniques
Knowledge of advanced methods such as Retrieval-Augmented Generation (RAG) and platforms like OpenAI or Hugging Face
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
Excellent problem-solving skills and ability to troubleshoot and optimize complex AI systems
Strong communication skills to work effectively with technical and non-technical stakeholders.

Benefits

Health insurance
Paid time off
Professional development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata pipeline developmentPythonTensorFlowPyTorchscikit-learnnatural language processingprompt engineeringRetrieval-Augmented Generationfeature engineering

Soft Skills

problem-solvingcommunication

Certifications

Bachelor's degree