Senior AI Solutions Engineer

About the role

The role is part of the Trustworthy AI Growth team at KinesisCloud Services, a company that focuses on providing cloud services with a strong emphasis on artificial intelligence and data management technologies such as Hadoop, BigQuery, Microsoft Azure, Apache Kafka, and RabbitMQ.

Responsibilities

• Manage and optimize cloud infrastructure using tools like Hadoop, BigQuery, and Microsoft Azure.
• Implement and maintain data pipelines using Apache Kafka and Apache Spark.
• Contribute to thought leadership projects in the field of artificial intelligence and data governance.
• Collaborate with cross-functional teams including product development, engineering, and sales to ensure alignment on project goals and deliverables.
• Ensure compliance with industry standards and regulations through quality control processes.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 5 years of experience in cloud computing and data management.
• Experience with Hadoop, BigQuery, and Microsoft Azure.
• Proficiency in Apache Kafka, Apache Spark, and Python.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Excellent communication and interpersonal skills.

Qualifications

• Experience with data governance and compliance practices.
• Knowledge of reinforcement learning and trust building techniques.
• Understanding of financial models and risk analysis.

Skills

• Strong analytical and technical skills.
• Ability to manage multiple projects simultaneously.
• Experience with marketing strategies and positioning.
• Knowledge of customer satisfaction metrics and optimization techniques.

Benefits

• Flexible working arrangements including remote and hybrid options.
• Competitive salary range of USD 164,000 - 280,000 per year.
• Health insurance, retirement plans, and other comprehensive benefits.
• Professional development opportunities and access to cutting-edge technology.

Pay

USD 164,000 - 280,000 per year based on experience and qualifications.

Schedule

Remote and hybrid work options available.