Remote Sr Backend Java ML Engineer- US Remote

Description:

• Collaborate closely with the Research team and Product Managers to understand requirements and translate them into robust backend solutions.
• Architect, design, and develop distributed, scalable, and high-performance software solutions.
• Take initiative to identify potential issues and proactively resolve them to ensure robustness and reliability of backend systems.
• Implement and maintain operability measures such as logging, monitoring, alerting, and debugging for smooth system operation.
• Embrace DevOps methodologies to streamline development and deployment processes using CI/CD pipelines and build tools.
• Continuously analyze and optimize the performance of backend systems to handle high volumes of traffic and data efficiently.
• Create and maintain comprehensive documentation for backend systems and processes, sharing best practices with the team.

Requirements:

• Proficiency in Java programming with a deep understanding of its ecosystem and best practices.
• Experience in designing, developing, and maintaining distributed, scalable, and high-performance software.
• Practical knowledge of machine learning algorithms, big data technologies, and machine learning frameworks and libraries.
• Strong collaboration and communication skills to work effectively with cross-functional teams.
• Proactive attitude with strong problem-solving skills and ability to take initiative.
• Experience with implementing and maintaining operability measures for system health and reliability.
• Familiarity with DevOps practices, CI/CD pipelines, and build tools for automation and continuous integration.
• Ability to analyze and optimize system performance for efficient data handling.
• Knowledge of containerization technologies such as Kubernetes and Docker.
• Experience with Google Cloud Platform (GCP) Vertex AI for leveraging cloud-based tools and services.

Benefits:

• Opportunity to work as an independent contributor in a highly experienced team.
• Remote work flexibility with a full-time position.
• Close interaction with the Research team and Product Managers to bring machine learning models into production.
• Continuous learning and growth opportunities in a dynamic environment.
• Competitive salary and benefits package.
• Joining a company recognized as a best place to work with a commitment to equal employment opportunity.