Lead AI Engineer for Autonomous Spend-to-Pay Software
1 week ago
AppZen is a pioneering leader in autonomous spend-to-pay software, leveraging patented artificial intelligence to revolutionize enterprise spend management. Our cutting-edge platform seamlessly integrates with existing accounts payable, expense, and card workflows, enabling real-time decisions based on unique spend profiles.
About the RoleWe are seeking an exceptional Lead AI Engineer to join our growing team of highly skilled data scientists and machine learning engineers. If you have a passion for natural language understanding and machine translation, we invite you to apply and grow your skills with us.
Key Responsibilities:
- Design, develop, and implement state-of-the-art NLP algorithms and models using Transformers and similar architectures.
- Ensure data quality throughout all stages of acquisition and processing, including data sourcing, collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
- Manage your own process: identify and execute on high impact projects, triage external requests, and ensure timely project conclusion.
- Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
Requirements:
- Solid understanding of machine learning fundamentals, standard algorithms, and techniques.
- Expert knowledge of statistical computing languages such as Python, and proficiency in probability and statistics, including experimental design, predictive modeling, optimization, and causal inference.
- Good understanding of MLOps tools/processes like Elasticsearch, Jenkins, Docker (plus).
- Good knowledge of Deep Learning frameworks like PyTorch, TensorFlow (must).
- M.Tech/B.Tech or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field.
- 4+ years of industry experience; you are a team player.
Nice-to-Have:
- Track-record of developing novel algorithms, publications in top conferences (KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML).
- Expertise in building and fine-tuning LLM models using Transformers and RAG systems.
We offer a competitive salary range of $160,000 - $220,000 per annum, commensurate with experience, plus additional benefits and opportunities for growth and professional development.
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