Contact center software using advanced AI & NLU to automate outdated workflows for support agents & QA teams.
51 - 200
💰 $20M Series B on 2022-03
April 2
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Contact center software using advanced AI & NLU to automate outdated workflows for support agents & QA teams.
51 - 200
💰 $20M Series B on 2022-03
• Understand customers' needs and innovate using cutting edge Machine Learning techniques • Work on NLP problems such as text classification, entity extraction, summarization, generative NLP, etc. • Collaborate with cross-functional teams to integrate/upgrade AI solutions • Optimize existing machine learning models for performance, scalability, and efficiency • Build, deploy, and own scalable production NLP pipelines • Develop post-deployment monitoring and continual learning capabilities • Stay updated with state-of-the-art techniques in NLP and exchange knowledge with colleagues • Learn and apply emerging model architectures, inference optimizations, distributed training, etc.
• Bachelors in Computer Science or Mathematics with 3+ years experience in Machine Learning and NLP • Proficient in Python • Solving NLP problems in areas such as text classification, entity tagging, information retrieval, etc. • Data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition • Experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, GPT, Llama, etc. • Deep familiarity with internals of Machine Learning algorithms • Experience with Deep Learning frameworks like Pytorch, scikit-learn, numpy, pandas, NLTK, etc. • ML model deployments using REST API, Docker, Kubernetes, etc. • Knowledge of cloud platforms (AWS/Azure/GCP) and their ML services • Understanding of Data Structures, Algorithms, real-time streaming tools/architectures like Kafka, Pub/Sub (a plus)
• Work with top VCs, technologists from Silicon Valley, and industry experts • Opportunity to work on cutting-edge technologies and shape the future of AI-driven enterprise applications • Directly collaborate with individuals who have worked at Amazon, Facebook, Google, and other major technology companies • Fun, learning, and growth opportunities at Level AI
Apply NowMarch 20
1001 - 5000
March 20
1001 - 5000
March 20
March 20
1001 - 5000
🇮🇳 India – Remote
💰 $21.4M Post-IPO Equity on 2022-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer