Artificial Intelligence/Machine Learning Engineer

Overview

We are looking for a hands-on AI/ML Engineer with strong skills in Python, traditional machine learning, and backend-oriented model development. The ideal candidate should be comfortable with prompt engineering, building scalable ML systems, and integrating models into production :

• Design, develop, and deploy AI/ML models using Python.
• Build traditional ML pipelines, including data preprocessing, feature engineering, model training, and evaluation.
• Create and fine-tune models using structured and unstructured data.
• Work on prompt engineering for LLM-based use cases and enhance model performance.
• Collaborate with backend teams to integrate ML models into applications and APIs.
• Optimize systems for scalability, performance, and reliability.
• Write clean, reusable, and production-grade code in Python (and occasionally PHP).
• Conduct experiments, model validation, and continuous performance improvements.
• Work closely with data teams to ensure robust data modeling and data quality.
• Document approaches, workflows, and technical designs.
  
  

• 2-5 years of hands-on experience in AI/ML Strong proficiency in Python with experience in ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow/PyTorch optional).
• Solid understanding of traditional machine learning techniques such as regression,
  
  

classification, clustering, and feature engineering.

• Experience in building ML models from scratch using available datasets.
• Good knowledge of prompt engineering and working with LLMs is preferred.
• Knowledge of PHP (basic to intermediate) will be useful for certain integration tasks.
• Understanding of data modeling, data pipelines, and data preprocessing.
• Strong backend engineering mindset, ability to work with APIs, microservices, and production
  
  

code.

• Experience in scaling ML systems, optimizing performance, and working with large datasets.
  
  

(ref:hirist.tech)