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

Requirements

Candidates should possess a Bachelor's degree in Computer Science or a mathematics-related field, coupled with over 2 years of experience in Machine Learning and NLP. Proficiency in Python, practical experience in solving NLP problems such as text classification, entity tagging, information retrieval, question-answering, natural language generation, and clustering are essential. Familiarity with data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition, and Transformer-based Language Models like BERT, DeBERTa, Flan-T5, GPT, Llama, Gemma, and DeepSeek is required. Deep understanding of Model Training concepts, model inference optimizations, and GPUs, along with experience in Deep Learning frameworks like Pytorch and libraries such as scikit-learn, numpy, pandas, NLTK, and transformers, is necessary. Experience with ML model deployments using REST API, Docker, and Kubernetes is also required. Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services, basic Data Structures and Algorithms, and real-time streaming tools/architectures like Kafka or Pub/Sub are desirable.

Responsibilities

The Machine Learning Engineer will be responsible for understanding customer needs and developing data-driven solutions using cutting-edge Machine Learning techniques. This includes working on NLP problems across various areas, collaborating with cross-functional teams to integrate AI solutions into products, and optimizing existing machine learning models for performance, scalability, and efficiency. The role also involves building, deploying, and owning scalable production NLP pipelines, establishing post-deployment monitoring and continual learning capabilities, and proposing suitable evaluation metrics and benchmarks. Additionally, the engineer will stay updated on state-of-the-art techniques in their field and share knowledge with colleagues, while also learning and applying the latest emerging model architectures, inference optimizations, and distributed training techniques.

Skills

Machine Learning

NLP

Text Classification

Entity Extraction

Summarization

Generative NLP

Python

Model Optimization

Scalable Production Pipelines

LLMs

Inference Optimization

Distributed Training

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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