Description

About the Role:
We are looking for a Machine Learning Engineer to develop and deploy scalable AI solutions and optimize real-time ML models. You will work with cutting-edge technologies to build MLOps pipelines, feature stores, and AI-driven decision-making systems.

Key Responsibilities:
✅ Develop, optimize, and deploy machine learning models for real-time AI applications.
✅ Build and maintain Feature Stores, Model Stores, and MLOps Pipelines.
✅ Work with Python, PySpark, Java, and cloud-based AI tools (AWS, Kubernetes, Spark).
✅ Implement AI-driven decision systems and scalable ML solutions.
✅ Collaborate with data scientists, engineers, and product teams to enhance ML workflows.

Required Skills & Qualifications:
🔹 B.S./M.S. in IT, Computer Science, or a related field.
🔹 Strong expertise in TensorFlow, PyTorch, Kafka, and Unix scripting.
🔹 Hands-on experience with cloud-based AI tools and distributed computing.
🔹 Ability to solve complex AI challenges and optimize ML systems for scale.
🔹 Experience in MLOps, Model Deployment, and Data Pipeline Management.

Education

B.S./M.S. in IT, Computer Science,