Machine Learning - ML Engineer in 4sqcapital

We are working with a growing company who is revolutionizing data management with a platform, using generative AI to transform strategies and enhance decision-making. Key Responsibilities- Design, build, and deploy advanced machine learning models - Analyze large datasets to identify key features that influence model outcomes. Implement feature extraction and selection techniques.- Optimize ML algorithms for performance and scalability. Validate model accuracy and reliability in various operational scenarios.- Work closely with data scientists and engineers to integrate ML models into the broader data and analytics pipelines.- Automate data pipelines and model training processes.- Continuously monitor, maintain, and improve model performance post-deployment.Requirements- Expertise in ML frameworks - TensorFlow, PyTorch, or Scikit-learn.- Strong skills in Python, with experience in libraries like NumPy, Pandas, and Matplotlib.- Familiarity with SQL and experience with big data technologies like Hadoop or Spark is beneficial.- Knowledge of deep learning, neural networks, and generative AI models.- Experience with version control tools - Git and CI/CD methodologies.