AIML Engineer

Role

Artificial Intelligence/Machine Learning Engineer I

• 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, No
  
  SQL and distributed data technologies.
• 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.
• 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.
• Collaborate with multidisciplinary teams including data engineers, analysts and business partners.
• Maintain records of workflows, models and architecture choices to facilitate knowledge sharing.

• 2 years of AI/ML development
• 2 years of data management experience
• 2 years experience using Python and associated libraries (Pandas, Num Py, Tensor Flow, 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

Employment Type:

Full Time

Vacancy: 1