Senior Machine Learning Engineer

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise Software, Contact Center TechnologyIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science or a related field, with a B.E./B.Tech/M.E./M.Tech/PhD from a tier 1 engineering institute, and 3-5 years of relevant work experience in machine learning and NLP, including experience with top technology companies. Strong knowledge of machine learning concepts and methods, particularly those related to NLP, Generative AI, and working with Large Language Models (LLMs) is required, along with expertise in Transformer-based Language Models such as BERT, DeBERTa, Flan-T5, Mistral, Llama, and familiarity with Deep Learning frameworks like Pytorch and common machine learning libraries. Experience with cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable, as is knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub.

Responsibilities

As a Senior Machine Learning Engineer at Level AI, you will be responsible for understanding customer needs, innovating, and utilizing cutting-edge Deep Learning techniques to build data-driven solutions, specifically focusing on NLP problems such as text classification, entity extraction, summarization, and generative AI. You will collaborate with cross-functional teams to integrate and upgrade AI solutions into the company’s products and services, and directly work with people who've worked at Amazon, Facebook, Google, and other technology companies.

Skills

Machine Learning

NLP

Transformer-based Language Models

BERT

DeBERTa

Flan-T5

Mistral

Llama

Deep Learning

PyTorch

scikit-learn

numpy

pandas

NLTK

REST API

Docker

Kubernetes

AWS

Azure

GCP

Data Structures

Algorithms

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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