Responsibilities:

• Design, develop, and deploy advanced AI algorithms and models.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Mentor junior AI engineers and provide technical guidance.
• Analyze complex data sets to extract meaningful insights and inform AI development.
• Stay updated with the latest trends and advancements in AI and machine learning technologies.
• Conduct thorough testing and validation of AI models to ensure robustness and accuracy.
• Optimize AI models for performance, scalability, and efficiency.
• Provide technical leadership in AI-related research projects and product development.

Requirements:

• Proven experience of 6-10 years in AI and machine learning model development and deployment.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras.
• Solid understanding of statistical and mathematical concepts underpinning AI algorithms.
• Hands-on experience with natural language processing (NLP), computer vision, or deep learning.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication and collaboration skills across multi-disciplinary teams.
• Experience with cloud computing platforms, such as AWS, Google Cloud, or Azure.

Qualifications:

• Master’s or Ph.D. degree in Computer Science, AI, Machine Learning, or related fields.
• Strong portfolio of published research or contributions to AI projects.
• Certification in AI or machine learning is a plus.
• Proficiency in handling big data technologies and data management systems.

Preferred Skills:

• Experience with large-scale data management and modern big data architectures.
• Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
• Knowledge of AI ethics and the ability to implement responsible AI practices.
• Ability to lead AI projects from conception to deployment and post-deployment analysis.