AI Cloud Developer

1 week ago

kannur, India beBeeCloud Full time

Job Title: Cloud Software EngineerWe are looking for a skilled professional with hands-on experience in AI/ML integration and cloud technologies.The ideal candidate should have strong backend development expertise, the ability to design scalable systems, and experience working with AI-driven applications and cloud-native architectures.Key Responsibilities:Develop, maintain, and optimize backend services using Java / Spring Boot.Design and implement AI-integrated APIs, workflow automations, or ML model integrations.Build and deploy cloud-native applications on AWS / Azure / GCP.Work closely with AI/ML teams to integrate models into production environments.Develop microservices with robust security, high scalability, and low latency.Implement CI/CD pipelines and automated deployment strategies.Perform code reviews, troubleshoot issues, and ensure best development practices.Contribute to architectural decisions and performance tuning activities.Required Skills & Experience:6+ years of experience in software development with strong expertise in Java, Spring Boot, Microservices.Experience integrating AI/ML models, APIs, or AI-powered features into applications.Strong experience with AWS / Azure / GCP cloud services (Lambda, S3, RDS, Cloud Functions, Kubernetes, etc.).Good understanding of REST APIs, messaging systems (Kafka/RabbitMQ), and distributed systems.Hands-on experience with Docker, Kubernetes, and cloud deployment pipelines.Familiarity with CI/CD tools like GitHub Actions, Jenkins, GitLab CI, etc.Understanding of databases (SQL/NoSQL) and caching technologies.Strong problem-solving, debugging, and analytical abilities.Benefits:This is a freelancing opportunity with flexible working hours.Share your expected hourly rate and availability.Additional Information:Exposure to GenAI tools, LLM integration, or vector databases can be beneficial.Experience with Python or AI frameworks (TensorFlow, PyTorch) is also desirable.Knowledge of serverless architecture and event-driven systems is an asset.Certifications in cloud or AI/ML technologies are highly valued.

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