Design, develop, and deploy AI/ML models: Build scalable machine learning models and algorithms that address complex business problems.
Data preprocessing and feature engineering: Prepare and transform raw data into suitable formats for model training and evaluation.
Model training and optimization: Train and fine-tune machine learning models to achieve high performance and accuracy.
Deploy and monitor models: Implement models into production environments and ensure they perform well over time.
Collaborate with cross-functional teams: Work closely with data scientists, software engineers, and product managers to integrate AI/ML solutions into products and services.
Research and innovation: Stay up-to-date with the latest AI/ML research, tools, and techniques to continuously improve our solutions.
Documentation and reporting: Maintain comprehensive documentation of models, processes, and outcomes, and communicate findings to stakeholders.

Experience:

2+ years of experience in developing and deploying AI/ML models in a production environment.
Programming Languages: Proficiency in Python, R, or Java
AI/ML Frameworks: Experience with TensorFlow, PyTorch, or scikit-learn.
Data Handling: Strong skills in data preprocessing, feature engineering, and data visualization.
Cloud Platforms: Familiarity with cloud services like AWS, Azure, or Google Cloud.

AI-ML Professional

Job Description