2 months ago
Noida, IndiaMid Level
Responsibilities
- Build, train, and optimize machine learning models for predictive analytics, natural language processing, computer vision, and other AI applications.
- Preprocess, clean, and structure large datasets for model training and evaluation.
- Implement and integrate machine learning models into production systems using scalable frameworks and APIs.
- Monitor and improve model accuracy, efficiency, and robustness.
- Research emerging AI/ML trends and incorporate best practices.
- Collaborate with software engineers, product managers, and data analysts to deliver AI-driven features.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Strong proficiency in Python, TensorFlow, PyTorch, and machine learning libraries.
- Experience with data pipelines, feature engineering, and model deployment.
- Knowledge of Azure, AWS, GCP, Docker, and Kubernetes.
- Familiarity with MLOps practices and CI/CD pipelines.
- Strong problem-solving and analytical skills.
- Preferred: experience with deep learning, transformer models, generative AI, Spark, Hadoop, AI ethics, bias mitigation, and responsible AI practices.
Tech Stack
Categories
About PrismHR
PrismHR builds cloud-based HR and payroll software for human resource outsourcing providers—PEOs, ASOs, and HROs—who serve small and midsize businesses. Its SaaS platform covers payroll, benefits administration, onboarding, employee self-service, and offers a marketplace of integrated partner applications, plus implementation, configuration, and training services. Founded in 1985, the company is headquartered in Chandler, Arizona, and is privately held under Stone Point Capital.