Overview
On Site
Depends on Experience
Full Time
Skills
Artificial Intelligence
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Generative Artificial Intelligence (AI)
Deep Learning
Data Analysis
Cloud Computing
Predictive Analytics
Job Details
We are seeking a highly skilled and experienced Senior Machine Learning Engineer / AI Solutions Architect with over 7 years of hands-on experience in designing, developing, and deploying machine learning models and AI solutions. The ideal candidate will have a strong background in data science, deep learning, and cloud-based model deployment, with a proven ability to solve complex business problems and deliver scalable, production-ready AI systems.
Key Responsibilities:
- Design and implement end-to-end machine learning pipelines including data pre-processing, feature engineering, model training, evaluation, and deployment.
- Develop and optimize ML/DL models for NLP, computer vision, and predictive analytics.
- Integrate AI models into production systems using APIs and cloud-native services.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Conduct exploratory data analysis and derive actionable insights from complex datasets.
- Apply transfer learning and advanced techniques for image classification, object detection (YOLOv8), and generative AI (Stable Diffusion, SAM).
- Monitor model performance, retrain models, and manage versioning using MLOps best practices.
- Build interactive dashboards and visualizations using Streamlit, Matplotlib, and Seaborn.
- Work with cloud platforms (AWS, Azure, Google Cloud Platform) for scalable model deployment and data pipeline orchestration.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.