NLP Engineer
Trunk ToolsFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a fully remote position.
Required skills include Machine Learning and NLP, Transformer-based Language Models (BERT, DeBERTa, Flan-T5, Mistral, Llama, etc.), Deep Learning frameworks (Pytorch), common ML libraries (scikit-learn, numpy, pandas, NLTK), ML model deployments (REST API, Docker, Kubernetes), and basic data structures and algorithms. Cloud platforms like AWS/Azure/GCP are desirable.
Candidates need a B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes and 3-5 years of relevant work experience with a top technology company in computer science or mathematics-related fields.
Level AI offers a fun, learning-oriented environment where you grow with the company, working directly with experienced professionals from Amazon, Facebook, Google, and other top tech firms on cutting-edge AI technologies.
Strong candidates have education from tier 1 institutes, 3-5 years experience at top tech companies, and hands-on expertise in ML, NLP, transformers, PyTorch, and model deployment.
Enhances customer experience through intelligent automation
Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.