AI Engineer
Ref Id: HREZ-294
Published Date: Apr 22, 2025
Job ID: 53464939
General information
Ref Id: HREZ-294
Published Date: Apr 22, 2025
Job ID: 53464939
Description
What you can expect
We are looking for someone who would be interested in staying ahead of technology and strive to learn the latest cloud technologies. Come and help make history as we change the way an enterprise pivots to Subscription based business models using hireEZ products.

Responsibilities
  • Leading end-to-end AI projects with measurable business outcomes, leveraging Agentic AI to develop high-quality solutions for various personas like sales and customer support agents.
  • Building and implementing efficient, modular, and reusable AI components that support multiple projects using both hireEZ AI and industry-standard technologies.
  • Improving hireEZ’s AI product suite and complement it with evolving industry standards; collaborate with product engineering to deploy new capabilities within hireEZ.
  • Applying optimization techniques to enhance model accuracy and use enterprise data to iteratively refine AI models.
  • Engaging in design discussions, code reviews, and code analysis with architects and engineers to maintain high-quality code and solutions.
  • Advocating AI best practices and standards, and drive process improvement and simplification initiatives using AI.

What we’re looking for
  • Have extensive experience (10+) in software development with proficiency in Python and working knowledge of Java EE; solid understanding of software engineering principles and domain-driven design.
  • Have hands-on experience developing AI/ML solutions, including LLMs, deep learning, NLP, and reinforcement learning, using frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
  • Be skilled in designing, training, validating, deploying, and monitoring ML models to achieve measurable business outcomes; experience with Hugging Face, LangChain, and vector databases.
  • Be proficient in designing ETL pipelines for large datasets; familiar with Airflow, Hadoop, Spark; experienced with RDBMS (Oracle, MySQL, MS SQL) and NoSQL (MongoDB, MariaDB).
  • Have knowledge of Kubernetes, containers, and CI/CD for AI/ML; experience with AWS, GCP, or Azure AI/ML services; skilled in debugging and optimizing large-scale data performance.
  • Be able to collaborate with product owners, tech leads, and cross-functional teams; build trust with senior leaders and customers as a strategic advisor.

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