Machine Learning Engineer - NLP at Level AI

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

Machine LearningNLPText ClassificationEntity ExtractionSummarizationGenerative NLPPythonModel OptimizationScalable Production PipelinesLLMsInference OptimizationDistributed Training

Questions & Answers

Common questions about this position

What is the location for this Machine Learning Engineer role?

The company is based in Mountain View, CA.

What salary or compensation does this position offer?

This information is not specified in the job description.

What key skills are required for the Machine Learning Engineer - NLP position?

Required skills include proficiency in Python, experience with NLP problems like text classification and entity extraction, hands-on experience with Transformer-based models like BERT and GPT, and familiarity with PyTorch, model training, and deployment using Docker and Kubernetes.

What is the team like at Level AI?

You will work directly with a team of experienced technologists from Amazon Alexa, Google, and other leading AI organizations, with the freedom to pave a new path.

What qualifications make a strong candidate for this role?

A Bachelor's in Computer Science or related field with 2+ years in Machine Learning and NLP, plus hands-on experience with Transformer models, PyTorch, and production deployments, will make you a strong candidate.

Level AI

Enhances customer experience through intelligent automation

About Level AI

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.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$72.4MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

Parental Leave

401(k) Retirement Plan

Risks

Emerging competition from other AI platforms threatens Level AI's market share.

Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.

Data privacy regulations may impact operations, especially with new monitoring features.

Differentiation

Level AI integrates human and machine intelligence for enhanced customer experience.

The company eliminates data silos, improving decision-making and customer interactions.

Level AI's subscription model offers steady revenue and customer retention.

Upsides

Increased demand for AI-driven customer service solutions boosts Level AI's market potential.

Growing interest in real-time conversational intelligence tools enhances call center performance.

Rising adoption of generative AI technologies automates tasks and personalizes interactions.

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