Backend Developer (Java / Python) - AI/ ML (Healthcare)

As a highly skilled Backend Developer with expertise in Java, Python, or both, combined with hands-on experience using AI/ML libraries, your role will focus on building scalable backend services and integrating intelligent machine learning capabilities into healthcare platforms. Here is a breakdown of your responsibilities: - Develop, enhance, and maintain backend services, APIs, and microservices using Java, Python, or a combination of both. - Integrate AI/ML models into production systems, ensuring efficient inference, scalability, and reliability. - Collaborate with data scientists to operationalize ML workflows, including model serving, feature pipelines, and monitoring. - Implement secure, compliant data processing aligned with healthcare regulations (HIPAA, PHI). - Build cloud-native solutions leveraging AWS, Azure, or GCP. - Optimize application performance, scalability, and fault tolerance. - Participate in architectural discussions, code reviews, and engineering best practices. - Troubleshoot production issues and deliver long-term, stable solutions. For this role, you are required to have the following skills and experience: - Strong backend development experience in Java, Python, or both. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or NumPy, Pandas. - Proven experience building RESTful APIs, microservices, and distributed backend systems. - Solid understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). - Experience with data pipelines, model deployment, and real-time inference architectures. - Healthcare domain experience, ideally with payor/provider systems, claims, or clinical data. - Knowledge of HIPAA compliance and secure data handling practices. - Strong SQL/NoSQL database skills. - Excellent communication and problem-solving abilities. Preferred qualifications for this role include: - Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, Databricks). - Familiarity with healthcare interoperability standards (FHIR, HL7). - Experience with event-driven systems (Kafka, Pub/Sub). - CI/CD experience with Jenkins, GitHub Actions, or Azure DevOps. If you are interested, the job is contractual/temporary for a duration of 12 months with a pay range of 1,093,060.22 - 1,843,717.67 per year. The work location is in person. As a highly skilled Backend Developer with expertise in Java, Python, or both, combined with hands-on experience using AI/ML libraries, your role will focus on building scalable backend services and integrating intelligent machine learning capabilities into healthcare platforms. Here is a breakdown of your responsibilities: - Develop, enhance, and maintain backend services, APIs, and microservices using Java, Python, or a combination of both. - Integrate AI/ML models into production systems, ensuring efficient inference, scalability, and reliability. - Collaborate with data scientists to operationalize ML workflows, including model serving, feature pipelines, and monitoring. - Implement secure, compliant data processing aligned with healthcare regulations (HIPAA, PHI). - Build cloud-native solutions leveraging AWS, Azure, or GCP. - Optimize application performance, scalability, and fault tolerance. - Participate in architectural discussions, code reviews, and engineering best practices. - Troubleshoot production issues and deliver long-term, stable solutions. For this role, you are required to have the following skills and experience: - Strong backend development experience in Java, Python, or both. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or NumPy, Pandas. - Proven experience building RESTful APIs, microservices, and distributed backend systems. - Solid understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). - Experience with data pipelines, model deployment, and real-time inference architectures. - Healthcare domain experience, ideally with payor/provider systems, claims, or clinical data. - Knowledge of HIPAA compliance and secure data handling practices. - Strong SQL/NoSQL database skills. - Excellent communication and problem-solving abilities. Preferred qualifications for this role include: - Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, Databricks). - Familiarity with healthcare interoperability standards (FHIR, HL7). - Experience with event-driven systems (Kafka, Pub/Sub). - CI/CD experience with Jenkins, GitHub Actions, or Azure DevOps. If you are interested, the job is contractual/temporary for a duration of 12 months with a pay range of 1,093,060.22 - 1,843,717.67 per year. The work location is in person.