Job Description

Overview:

One of our clients based in California USA is building a new team and looking for 7 highly skilled and motivated AI Engineers globally to join their dynamic team. As an AI Engineer you will be pivotal in designing developing and deploying stateoftheart AI solutions that enhance the capabilities of our products and services driving efficiency and innovation.

Key Responsibilities:

• Design and implement advanced machine learning algorithms to solve complex problems.
• Analyze large datasets to extract valuable insights and improve model performance.
• Train machine learning models and evaluate their performance using various metrics and methodologies.
• Integrate AI solutions into existing systems to enhance functionality and performance.
• Stay updated with the latest trends in AI and machine learning applying this knowledge to drive innovation within the team.
• Work closely with crossfunctional teams including data scientists software engineers and product managers to deliver highquality AI solutions.
• Deploy AI models into production environments ensuring their ongoing performance and reliability.
• Create comprehensive documentation for AI models algorithms and systems to facilitate knowledge sharing and maintenance.

Qualifications:

• Bachelors or Masters degree in Computer Science Engineering or a related field.
• Proficiency in programming languages such as Python R or Java and strong understanding of machine learning frameworks like TensorFlow PyTorch and scikitlearn.
• Demonstrated experience in developing and deploying AI models in a professional setting.
• Strong analytical and problemsolving skills with experience in working with large datasets.
• Excellent verbal and written communication skills to explain complex AI concepts to nontechnical stakeholders.
• Ability to work collaboratively in a team environment and contribute to project success.

Preferred Qualifications:

• Ph.D. in AI Machine Learning Data Science or a related field.
• Experience in applying AI techniques in industries such as healthcare finance or ecommerce.
• Familiarity with big data platforms like Hadoop Spark and AWS.
• Published research in reputable AI or machine learning conferences or journals.

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