Design, develop, and deploy machine learning models.
Preprocess and analyze large datasets to extract meaningful insights.
Optimize existing machine learning models for performance and scalability.
Collaborate with data scientists and software engineers to integrate AI solutions into products.
Stay updated with the latest advancements in AI/ML technologies.
Analyze complex datasets to identify trends and patterns.
Develop predictive models and algorithms.
Communicate findings to stakeholders through visualizations and reports.
Collaborate with cross-functional teams to implement data-driven solutions.
Continuously improve models based on new data and feedback.
Bachelor’s Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras.
Strong understanding of statistical methods and machine learning algorithms.
Proficient in data analysis tools such as Pandas, NumPy, SQL, and data visualization tools like Tableau or Power BI.
Experience with cloud platforms like AWS, Google Cloud, or Azure.
Knowledge of AI algorithms including neural networks, natural language processing, computer vision, and reinforcement learning.
Understanding of software engineering principles, version control (Git), and CI/CD pipelines.