Description
Our client seeks a talented Machine Learning Engineer to join our innovative team. The ideal candidate will design, develop, and deploy scalable machine learning models and systems that solve real-world problems. You will work closely with data scientists, engineers, and other stakeholders to turn prototypes into production-ready solutions and optimize existing machine learning systems. Design, build, and maintain machine learning models and systems for production use.
Collaborate with data scientists to translate prototypes and research models into robust, scalable solutions.
Develop and optimize data pipelines for model training and inference.
Monitor and evaluate the performance of deployed machine learning models and update them as needed.
Implement and enforce best practices for model versioning, deployment, and reproducibility.
Utilize cloud platforms (AWS, Azure, or GCP) to deploy and scale machine learning solutions.
Develop APIs or services to integrate machine learning models with applications.
Conduct model validation, testing, and tuning to improve accuracy and reliability.
Stay updated on emerging trends and technologies in machine learning and artificial intelligence.
Collaborate with cross-functional teams to ensure alignment between machine learning solutions and business goals.
Experience Required
Skills Required
Python
AWS
Azure
MLOps
Kubeflow
Airflow
MLFlow
Hadoop
Tensorflow
Apache Spark
PySpark
Scikit-learn
PyTorch
FastAPI
Kafka
NLP
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Benefits on Offer