Qualifications:
1. Advanced proficiency in Python, Java, and R for code writing and development.
2. Minimum of 4 years’ experience as a Machine Learning Engineer or a higher degree in AI/ML.
3. Strong understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn or similar.
4. Good to have working experience with large datasets and data pipelines.
5. Nice to have experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI/ML solutions.
6. Excellent problem-solving skills and ability to work in a fast-paced environment.
7. Strong communication and teamwork abilities.
Responsibilities:
1. Assist the team in executing end-to-end AI/ML solutions for projects.
2. Participate in the design, implementation, and optimization of AI/ML models.
3. Collaborate with cross-functional teams to integrate AI/ML solutions into the overall project architecture.
4. Continuously research and implement the latest AI/ML technologies and methodologies to improve project outcomes.
5. Conduct data analysis and exploration to derive insights and inform model development.
6. Monitor and maintain AI/ML models in production, ensuring optimal performance and making adjustments as necessary.
7. Work with data scientists, engineers, and other stakeholders to define project goals and deliverables.
8. Develop and implement machine learning algorithms for predictive analytics, recommendation systems, and other business needs.
9. Document processes, solutions, and models to ensure clear communication and replicability.
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