IBM AI Engineer 

India, Karnataka, Bengaluru 

728410918

• Build and Deploy Models:
• Design, develop, and optimize machine learning and deep learning models.
• Implement algorithms to improve the performance and scalability of AI systems.
• Data Preparation:
• Handle data collection, cleaning, and preprocessing for large datasets.
• Develop and maintain data pipelines to ensure efficient data processing.
• Code and Integrate:
• Write clean, efficient code and integrate AI models into production environments.
• Optimize systems for reliability, scalability, and performance.
• Innovate and Research:
• Stay updated on the latest AI advancements and experiment with new models and techniques.
• Prototype new ideas and contribute to the company’s AI strategy.
• Collaborate Across Teams:
• Work closely with data scientists, software engineers, and product managers.
• Translate complex AI concepts into practical applications that meet business needs.
• Evaluate and Optimize:
• Assess and improve the performance of AI models using metrics like accuracy and recall.
• Continuously optimize models for speed, memory usage, and resource efficiency.
• Ensure Compliance and Ethics:
• Ensure AI solutions adhere to ethical standards and regulatory requirements.
• Implement measures to guarantee model transparency, fairness, and interpretability.
• Deploy and Monitor:
• Oversee the deployment of AI models and monitor their performance in production.
• Set up automated monitoring systems to ensure models function effectively in real-world scenarios.

Required Technical and Professional Expertise

• Programming Skills: Proficiency in Python, R, Java, C++, or similar languages.
• Tools and Frameworks: Experience with TensorFlow, PyTorch, Keras, Scikit-learn, etc.
• At least 2 years of experience in machine learning, deep learning, or AI-related fields.
• Proven experience in deploying AI models into production environments.
• Strong background in big data technologies and large-scale data processing.
• Mathematical Foundation: Solid understanding of linear algebra, calculus, probability, and statistics.
• Communication Skills: Ability to articulate complex technical concepts clearly and effectively.

Preferred Technical and Professional Expertise

• Cloud Experience: Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
• Data Management: Strong knowledge of SQL, NoSQL, and big data technologies.
• AI/ML certifications from recognized institutions or platforms (e.g., Coursera, edX, AWS AI, Google AI).
• Experience with advanced AI techniques and research.
• Previous experience working in a collaborative, cross-functional team environment.