Key Responsibilities:
- Develop and deploy AI/ML models to solve business challenges.
- Implement Generative AI techniques and utilize supervised/unsupervised learning effectively.
- Analyze data sources and employ cleansing techniques for robust solutions.
- Communicate findings to technical and non-technical stakeholders
- Requirements:
- Bachelor’s in Computer Science, Data Science, or related field.
- Proficiency in Python, R, or similar programming languages.
- Proven experience in AI/ML model implementation and alteration.
- Strong understanding of data sources, collection, and cleansing techniques.
- Applicants should be prepared to discuss previous projects and use cases they’ve worked on, detailing the data sources utilized and the specific data cleansing techniques implemented.
- Preferred Skills:
- 2.5-3 years of hands-on experience in AI/ML model implementation and alteration.
- Experience with TensorFlow, PyTorch, or similar frameworks.
- Knowledge of big data technologies and cloud platforms.