Java Developer - AiML

Primary Responsibilities:

• Oversee the AI/ML service lifecycle in production, ensuring seamless management of model updates and versions
• Coordinate with relevant teams to facilitate the deployment and integration of new models and updates into the production environment
• Ensure compliance with ITSM standards and processes for incident, problem, and service request management according to enterprise ITSM standards
• Respond promptly to incidents related to AI model and data quality, conduct root cause analysis, and implement corrective actions
• Document incident retrospectives and maintain a comprehensive knowledge base for future reference
• Provide timely updates on high-priority issues to leadership and stakeholders, ensuring transparency and effective communication
• Regularly collaborate with vendors (e.g., Google Cloud TAM) and development teams (data scientists, AI engineers, etc.) to understand new requirements and AI solutions
• Work closely with these teams to resolve issues with existing implementations and ensure smooth operation of AI services
• Serve as the primary liaison between technical teams (data scientists, AI engineers, etc.) and business stakeholders, ensuring clear and effective communication
• Set up system health monitoring for performance, availability, and business functions
• Configure appropriate alerts to ensure timely detection of issues and document response actions for quick resolution
• Stay updated with advancements in AI and machine learning technologies to ensure the organization remains at the forefront of innovation
• Experiment with new tools and techniques to improve AI operations and contribute to developing best practices and standards for AI Ops
• Implement lessons learned and best practices to continuously improve the AI/ML service
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications - External

Required Qualifications:

• Graduate degree or equivalent experience
• 4 year bachelors degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience
• 3+ years of experience in Java
• 2+ years of experience in Spring Boot, Microservices
• 1+ years of hands-on experience in AI ML
• Experience working with data analysis (e.g., Splunk, Dynatrace, New Relic) tools
• Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP)
• Proven experience as a Machine Learning Engineer or similar role in the industry
• Experience in AI Ops that includes AI/ML Models quality monitoring and alerting, AI/ML Model development and continuous improvement, incident triage, troubleshooting, monitoring, continuous innovation
• Solid knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline
• Solid incident management skills, with a data-driven and analytical approach to diagnosing complex issues
• Excellent problem-solving and troubleshooting skills
• Ability to work collaboratively with a diverse team of engineers, architects, and developers
• Ability to work independently and in a team environment

Preferred Qualifications:

• Machine Learning certifications
• Experience in a Healthcare Payer enterprise
• Experience in training team members on machine learning technologies and applications
• Proficient in CRM platforms, such as Salesforce
• Knowledge of data privacy regulations and practices
• Solid communication and project management skills
• Ability to work independently and in a team environment