| Role (including level) | Artificial Intelligence/Machine Learning Engineer I |
| work to be accomplished | Data Management & Preparation Gather clean and preprocess both structured and unstructured data for use in AI/ML workflows. Apply data governance standards conduct quality checks and handle metadata management tasks. Manage large datasets utilizing SQL NoSQL and distributed data technologies. AI/ML Development Build train and validate machine learning models using tools such as AutoML deep learning and reinforcement learning frameworks. Enhance models for improved performance scalability and accuracy. Employ feature engineering and model evaluation strategies. Architecture & Integration Support the design of AI/ML architectural solutions that comply with enterprise guidelines. Deploy models into production settings by leveraging APIs microservices or containerized approaches. Aid deployments on cloud services (AWS Azure) and make use of MLOps methodologies. Collaboration & Documentation Collaborate with multidisciplinary teams including data engineers analysts and business partners. Maintain records of workflows models and architecture choices to facilitate knowledge sharing. |
| Minimum Yrs of Experience Skills and Qualifications | 2 years of AI/ML development 2 years of data management experience 2 years experience using Python and associated libraries (Pandas NumPy TensorFlow PyTorch) Solid grasp of data structures algorithms and relational database concepts. 1 year experience with cloud platforms (Azure/AWS/GCP) and container technologies (Docker/Kubernetes) Excellent problem-solving abilities and communication skills |
Required Skills:
Artificial IntelligenceMachine Learning
Role (including level) Artificial Intelligence/Machine Learning Engineer I work to be accomplished Data Management & Preparation Gather clean and preprocess both structured and unstructured data for use in AI/ML workflows. Apply data governance standards conduct quality checks and hand...
| Role (including level) | Artificial Intelligence/Machine Learning Engineer I |
| work to be accomplished | Data Management & Preparation Gather clean and preprocess both structured and unstructured data for use in AI/ML workflows. Apply data governance standards conduct quality checks and handle metadata management tasks. Manage large datasets utilizing SQL NoSQL and distributed data technologies. AI/ML Development Build train and validate machine learning models using tools such as AutoML deep learning and reinforcement learning frameworks. Enhance models for improved performance scalability and accuracy. Employ feature engineering and model evaluation strategies. Architecture & Integration Support the design of AI/ML architectural solutions that comply with enterprise guidelines. Deploy models into production settings by leveraging APIs microservices or containerized approaches. Aid deployments on cloud services (AWS Azure) and make use of MLOps methodologies. Collaboration & Documentation Collaborate with multidisciplinary teams including data engineers analysts and business partners. Maintain records of workflows models and architecture choices to facilitate knowledge sharing. |
| Minimum Yrs of Experience Skills and Qualifications | 2 years of AI/ML development 2 years of data management experience 2 years experience using Python and associated libraries (Pandas NumPy TensorFlow PyTorch) Solid grasp of data structures algorithms and relational database concepts. 1 year experience with cloud platforms (Azure/AWS/GCP) and container technologies (Docker/Kubernetes) Excellent problem-solving abilities and communication skills |
Required Skills:
Artificial IntelligenceMachine Learning
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