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Full Stack Developer with GenAI Platform Engineer

Job Title: Full Stack Developer with GenAI Platform Engineer (Support Role)Location : Bloomfield, CTAs a Generative AI Platform Support Full Stack Engineer, you will provide technical support for our AI platform tasks. You will collaborate with cross-functional teams to troubleshoot issues, enhancements, monitor logs and ensure the platform operates smoothly and efficiently. Key Responsibilities: •           Assess and enhance the AI platform’s data pipeline resilience.•           Ensure that AI/ML models are fault-tolerant and scalable.•           Identify bottlenecks in model inference and training pipelines.•           Optimize model performance for real-time use cases.•           Collaborate with the DevOps team on deployment improvements.•           Implement automated testing for fault-tolerance scenarios.•           Provide technical support for users of the Generative AI platform, troubleshooting issues and answering queries. •           Monitor platform performance and implement optimization strategies. •           Document processes, issues, and solutions for knowledge sharing and future reference. •           Stay up-to-date with industry trends and advancements in generative AI technologies.  Qualifications: •           Bachelor’s degree in Computer Science, Engineering, or a related field. •           Proven experience as a Full Stack Developer with a focus on support and maintenance. •           Proficiency in front-end technologies (HTML, CSS, JavaScript, React, or Angular). •           Strong back-end development skills (Node.js, Python, Java, or similar). •           Experience with database management (SQL, NoSQL). •           Familiarity with cloud platforms (AWS, GCP, Azure). •           Excellent problem-solving skills and attention to detail. •           Strong communication skills and ability to work collaboratively. Preferred Qualifications: •           Experience in AI/ML applications and frameworks (TensorFlow, PyTorch). •           Knowledge of containerization (Docker, Kubernetes). •           Familiarity with Agile development methodologies.