Principle AI Engineer

We are looking for an experienced Assistant Principal AI Engineer to lead the development and implementation of MLOps pipelines, ensuring seamless integration of AI models into production environments. The successful candidate will have a strong background in machine learning, software development, and DevOps.

Key Responsibilities:

1. MLOps Pipeline Development: Design, develop, and deploy scalable MLOps pipelines to support the development, testing, and deployment of AI models.
2. AI Model Development: Collaborate with data scientists to develop and refine AI models, ensuring they are optimized for production environments.
3. DevOps and Infrastructure: Work with cross-functional teams to ensure seamless integration of MLOps pipelines with existing infrastructure and tools.
4. Model Monitoring and Maintenance: Develop and implement monitoring and maintenance strategies for AI models in production, ensuring high performance and reliability.

Requirements:

1. Technical Skills:
   • Proficiency in programming languages such as Python, Java, or C++.
   • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
   • Knowledge of DevOps tools (e.g., Jenkins, Docker, Kubernetes).
   • Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
2. MLOps Experience:
   • Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow).
   • Knowledge of model serving, monitoring, and maintenance best practices.
3. AI/ML Expertise:
   • Strong understanding of machine learning concepts, including deep learning and natural language processing.
   • Experience with data preprocessing, feature engineering, and model optimization.

What Our Client Offers:

1. Competitive salary and benefits package.
2. Opportunities for professional growth and development.
3. Collaborative and dynamic work environment.