AI Engineer – Center of Excellence
Listed on 2025-12-21
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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Aderant is a global industry‑leading software company that provides comprehensive business management solutions for law firms and other professional services organizations. With over 2,500 clients worldwide, including 95 of the top AmLaw 100 firms, we are changing the perception of the legal sphere by creating a culture that embraces innovation, technology, and modern ideas.
At Aderant, the "A" represents how we fulfill our foundational purpose—serving clients, fostering innovation, collaboration, and personal growth. We encourage diverse teams to bring their whole selves to work to drive our mission forward. Our people are our strength.
Role DescriptionThe AI Engineer will design, develop, and deploy AI‑powered solutions as part of the AI Center of Excellence. This highly technical role transforms business requirements into scalable prototypes and production‑ready AI systems, working closely with the AI Lead and other engineers to accelerate adoption of AI technologies across the enterprise.
Responsibilities- Build, train, evaluate, and deploy machine learning and generative AI models.
- Design and implement scalable pipelines for data preparation, model training, and inference.
- Develop APIs, services, and integrations that embed AI capabilities into business applications.
- Experiment with state‑of‑the‑art AI frameworks and tools (Lang Chain, Hugging Face, OpenAI, etc.) to deliver innovative solutions.
- Collaborate with product and engineering teams to identify opportunities and integrate AI features.
- Monitor model performance and continuously improve systems through retraining, fine‑tuning, and optimization.
- Contribute to documentation, knowledge sharing, and technical standards for AI adoption.
- 1‑3 years of experience in AI/ML engineering, data science, or related fields.
- Strong programming skills in Python (experience with Tensor Flow, PyTorch, or similar frameworks).
- Hands‑on experience with LLMs, NLP, or other modern AI technologies.
- Knowledge of cloud‑based AI/ML services (AWS Sage Maker, Azure ML, Vertex AI).
- Solid understanding of data engineering concepts, including ETL pipelines and data APIs.
- Ability to work in agile teams, rapidly prototype, and iterate solutions.
- Bachelor’s or Master’s in Computer Science, Data Science, or related discipline.
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