Machine Learning Engineer - NLP

Level AI; Dadri; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A pioneering voice AI startup in Dadri is looking for an experienced Machine Learning Engineer with strong NLP skills. You will innovate solutions based on customer needs and collaborate with cross-functional teams to enhance AI products. The role requires a Bachelor's degree in Computer Science and over 2 years of experience in machine learning and NLP, particularly with Python and various NLP techniques. This position offers an exciting opportunity to be part of a high-impact team driving AI innovation.

Qualifications

• 2+ years of experience in Machine Learning and NLP.
• Practical experience in solving problems in text classification, entity tagging, and natural language generation.
• Understanding of machine learning concepts, data mining, and feature extraction.

Responsibilities

• Understand customer needs and innovate data-driven solutions.
• Collaborate with teams to integrate and upgrade AI solutions.
• Build and own scalable production NLP pipelines.

Skills

Machine Learning

Natural Language Processing (NLP)

Python

Data Engineering

Deep Learning

Transformers

Model Training

Docker

Kubernetes

AWS

Education

Bachelor's in Computer Science or mathematics-related fields

Tools

Pytorch

scikit-learn

NumPy

Pandas

NLTK

Transformers library

Job description

Level AI is a Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP and information retrieval systems to bring customers and businesses closer to one another. As one of the critical members of the Level team your work will be new and of the highest impact to shape the future of AI in businesses. You will directly work with a team of experienced technologists to identify and solve a new set of problems. The team has experience from Amazon Alexa, Google, and other leading AI organizations. You will have the freedom to pave a new path to achieve our mission.

Responsibilities

• Big picture: Understand customers’ needs and innovate and use cutting-edge Machine Learning techniques to build data-driven solutions
• Work on NLP problems across areas such as text classification, entity extraction, summarisation, generative NLP, and others
• Collaborate with cross-functional teams to integrate/upgrade AI solutions into company’s products and services. Optimize existing machine learning models for performance, scalability and efficiency
• Build, deploy and own scalable production NLP pipelines
• Build post-deployment monitoring and continual learning capabilities
• Propose suitable evaluation metrics and establish benchmarks
• Keep abreast of SOTA techniques in your area and exchange knowledge with colleagues
• Desire to learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc

Qualifications

• Bachelors in Computer Science or mathematics-related fields with 2+ years of experience in Machine Learning and NLP
• Proficient in Python, NLP knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc
• Knowledge and experience with data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition, etc
• Knowledge and hands‑on experience with Transformer-based Language Models like BERT, DeBERTa, Flan‑T5, GPT, Llama, Gemma, DeepSeek, etc
• Deep familiarity with Model Training concepts, model inference optimisations, GPUs, etc
• Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit‑learn, numpy, pandas, NLTK, transformers, etc
• Experience with ML model deployments using REST API, Docker, Kubernetes, etc
• Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable
• Knowledge of basic Data Structures and Algorithms
• Knowledge of Multimodal models is a plus
• Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.