- Develop and implement advanced AI/ML models to solve complex business problems and drive data-driven insights.
- Design, develop, and deploy machine learning algorithms and deep learning models using Python and popular frameworks like TensorFlow and PyTorch.
- Collaborate with cross-functional teams to understand data requirements and translate business problems into analytical solutions.
- Conduct data analysis and feature engineering to improve model accuracy and performance.
- Optimize and fine-tune models for better scalability and efficiency.
- Continuously research and stay updated on the latest trends and techniques in AI, machine learning, and deep learning.
- Work on large datasets, ensuring data integrity and quality while managing data preprocessing pipelines.
- Communicate findings through clear visualizations, reports, and presentations to both technical and non-technical stakeholders.
Required Skills & Knowledge:
- Strong proficiency in Python programming and libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Solid understanding of machine learning algorithms, data processing, and model evaluation techniques.
- Hands-on experience in data analysis, model deployment, and scaling AI systems.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications:
- Degree in Computer Science, Data Science, Mathematics, or a related field.
- Experience with cloud-based AI/ML tools (e.g., AWS, Azure, Google Cloud).
- Familiarity with natural language processing (NLP) or computer vision is a plus.
