HMH
AI Engineer
Edtech.com's Summary
- Design, train, and deploy machine learning and deep learning models using TensorFlow, PyTorch, and Scikit-learn.
- Implement and fine-tune large language models (LLMs) with tools like LangChain, RAG, and vector databases; experience with GPTs or LLaMA preferred.
- Manage model lifecycle using MLOps tools such as MLflow and Docker; support production-grade generative AI systems.
- Collaborate with data engineering teams to build robust data pipelines and infrastructure.
- Develop APIs and microservices for AI model integration into enterprise applications.
- Continuously monitor and optimize model performance; retrain models to maintain accuracy.
- Ensure compliance with enterprise security and data governance standards.
- Require 3-5 years of AI/ML engineering experience and proficiency in Python and AI frameworks.
- Experience with cloud platforms (AWS, Azure, GCP), MLOps, RESTful APIs, and microservices architecture is necessary.
- Preferred experience includes exposure to educational technology, transactional system AI integration, and familiarity with data warehouses and governance.
AI Engineer Full Description
HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K-12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students' potential and extend teachers' capabilities.
HMH serves more than 50 million students and 4 million educators in 150 countries. For more information, visit www.hmhco.com
We are seeking a mid-level AI Engineer to join our team focused on building scalable, production-ready AI solutions that support analytics, automation, and intelligent decision-making. This role will contribute to the development and deployment of machine learning models, generative AI systems, and AI-enhanced data workflows across platforms.
- Model Development & Deployment: Design, train, and deploy machine learning and deep learning models using frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Generative AI & LLMs: Implement and fine-tune large language models (LLMs) using tools such as LangChain, RAG, and vector databases. Experience with GPTs, LLaMA, or similar models is preferred
- MLOps & GenAIOps: Use tools like MLflow and Docker to manage model lifecycle, reproducibility, and scalability. Support production-grade GenAI systems
- Data Engineering Collaboration: Work closely with data engineers to ensure robust data pipelines and infrastructure for model training and inference.
- Integration & APIs: Develop APIs and microservices to integrate AI models into enterprise applications and workflows.
- Monitoring & Optimization: Continuously monitor model performance and retrain as needed to maintain accuracy and relevance.
- Security & Governance: Ensure AI systems comply with enterprise security and data governance standards.
Skills & Qualifications
- 3-5 years of experience in AI/ML engineering or related roles.
- Proficiency in Python and experience with AI frameworks (TensorFlow, PyTorch).
- Familiarity with cloud platforms (AWS, Azure, GCP) for model deployment.
- Experience with MLOps tools (MLflow, Docker) and GenAI deployment.
- Strong understanding of LLMs, NLP, and computer vision techniques.
- Ability to write clean, efficient, and reusable code.
- Experience with RESTful APIs and microservices architecture.
Preferred Experience
- Exposure to educational technology or enterprise data environments.
- Experience integrating AI into transactional systems.
- Familiarity with data warehouses and data governance frameworks.
The Information Technology organization is transforming to realize our mission: Become a leader in HMH's digital transformation, and as a strategic partner, innovate and deliver highest value, competitive advantage solutions across all corporate and business functions. Our ambition is to be a digital leader through innovation and develop and deliver leading edge technology such as robotic process automation and artificial intelligence to solve some of HMH's greatest operational business challenges. Our professionals will have business relevant skills to connect our HMH partners to technologies that propel the businesses to deliver the greatest value for HMH and our customers.
We are building a team of IT professionals with an insatiable appetite to learn, a relentless focus on customer service, a technological curiosity toward future possibilities, and a creativity in solving business challenges with leading technologies. Our team will find ways to work together, create a sense of community where it's safe to take risks and learn together, develop our careers, and all have an opportunity to work on new technologies. We will work together, learn together and have fun together. As a team, we will lead HMH's digital transformation.
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