What you'll do:

• Design, develop, and deploy scalable AI/ML solutions.
• Work with cross-functional teams to implement machine learning models into production.
• Conduct data analysis and validation to ensure accuracy and performance of AI solutions.
• Stay up-to-date with the latest trends and advancements in AI and machine learning technologies.
• Collaborate with data engineers to build and maintain data pipelines.
• Provide mentorship and guidance to junior team members.

What makes you a great fit:

• Proficiency in Python, R, or Java.
• Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data preprocessing, feature engineering, and model selection.
• Knowledge of cloud services (AWS, Azure, Google Cloud) and deployment techniques.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Educational Qualifications:
• Bachelor’s/Master’s degree in Computer Science, Data Science, or a related field.
• Preferred Qualifications:
• Certifications in AI/ML or related technologies.
• Experience with natural language processing (NLP) and computer vision.
• Strong communication skills and ability to work collaboratively with a team.