We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions that enhance business processes and product capabilities. The ideal candidate will have strong expertise in data science, algorithm development, and software engineering, with a passion for solving complex problems using cutting-edge technologies.
Key Responsibilities:
- Model Development: Build, train, and optimise machine learning models for predictive analytics, natural language processing, computer vision, and other AI applications.
- Data Engineering: Preprocess, clean, and structure large datasets for model training and evaluation.
- Deployment & Integration: Implement ML models into production systems using scalable frameworks and APIs.
- Research & Innovation: Stay updated with the latest AI/ML trends and incorporate best practices into solutions.
- Performance Monitoring: Continuously monitor and improve model accuracy, efficiency, and robustness.
- Collaboration: Work closely with cross-functional teams including software engineers, product managers, and data analysts to deliver AI-driven features.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Strong proficiency in Python, TensorFlow, PyTorch, and ML libraries.
- Experience with data pipelines, feature engineering, and model deployment.
- Knowledge of cloud platforms (Azure, AWS, GCP) and containerisation (Docker, Kubernetes).
- Familiarity with MLOps practices and CI/CD pipelines.
- Excellent problem-solving and analytical skills.
Preferred Skills:
- Experience with deep learning, transformer models, and generative AI.
- Understanding of big data technologies (Spark, Hadoop).
- Exposure to AI ethics, bias mitigation, and responsible AI practices.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Strong proficiency in Python
- TensorFlow
- PyTorch
- Experience with data pipelines, feature engineering, and model deployment
- Knowledge of cloud platforms (Azure, AWS, GCP)
- Containerisation (Docker, Kubernetes)
- Familiarity with MLOps practices and CI/CD pipelines
- Excellent problem-solving and analytical skills
- Experience with deep learning, transformer models, and generative AI
- Understanding of big data technologies (Spark, Hadoop)
- Exposure to AI ethics, bias mitigation, and responsible AI practices
What We Do
PrismHR creates exceptional software and services, empowering human resource outsourcing service providers such as Professional Employer Organizations (PEOs) and Administrative Service Organizations (ASOs) to deliver world-class payroll, benefits and HR to small and medium sized businesses. PrismHR software is used by more than 88,000 organizations and 2.2 million worksite employees, processing greater than $57 billion in payroll each year. Visit our website to learn more about how PrismHR can help your business be more profitable and productive. http://www.prismhr.com

.jpeg)





