AI/ML Engineer

Qualifications:

·    Advanced proficiency in Python, Java, and R for code writing and development. 

·       Minimum of 4 years' experience as a Machine Learning Engineer or a higher degree in AI/ML. 

·       Strong understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn or similar. 

·       Good to have working experience with large datasets and data pipelines. 

·       Nice to have an experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI/ML solutions. 

·       Excellent problem-solving skills and ability to work in a fast-paced environment. 

·       Strong communication and teamwork abilities. 

Responsibilities:

·       Assist the team in executing end-to-end AI/ML solutions for projects.

·       Participate in the design, implementation, and optimization of AI/ML models.

·       Collaborate with cross-functional teams to integrate AI/ML solutions into the overall project architecture.

·       Continuously research and implement the latest AI/ML technologies and methodologies to improve project outcomes.

·       Conduct data analysis and exploration to derive insights and inform model development.

·       Monitor and maintain AI/ML models in production, ensuring optimal performance and making adjustments as necessary.

·       Work with data scientists, engineers, and other stakeholders to define project goals and deliverables.

·       Develop and implement machine learning algorithms for predictive analytics, recommendation systems, and other business needs.

·       Document processes, solutions, and models to ensure clear communication and replicability