Machine Learning Engineer (NLP / AI) (Gurgaon: On-Site)

Overview

Posted 16 hours ago

About Us:
We are life sciences company specializing in pharmaceutical regulatory solutions, leveraging AI to tackle complex data challenges in specialized fields.

Job Requirements:
We are looking for a versatile Machine Learning Engineer to lead NLP-driven projects and contribute to the development of foundational AI models for domain-specific applications. Job objective include designing and developing machine learning system in Pharma Life Science space, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest developments in the field.

Responsibilities:
Develop and fine-tune machine learning models focused on text analysis, data extraction, and NLP tasks.
Preprocess and structure large datasets, ensuring high quality and consistency.
Design and implement efficient data pipelines to handle unstructured and semi-structured data sources.
Work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning pharma Regulatory applications.
Collaborate with cross-functional teams to integrate machine learning models into production environments, ensuring reliability and scalability.
Continuously test, evaluate, and optimize model performance to meet project needs and user requirements.

Requirements:
2-4 year’s experience in related field.
Strong background in machine learning with a focus on NLP and text-based data processing.
Proficiency in ML frameworks like PyTorch or TensorFlow, and experience with NLP libraries such as Hugging Face Transformers or SpaCy.
Solid understanding of data wrangling, feature engineering, and preparing datasets for model training.
Knowledge of NLP models such as BERT, GPT family, Transformers, etc.
Hands-on experience with deploying and optimizing machine learning models for production use.
Knowledge of cloud platforms (AWS, GCP, Azure) and version control systems like Git.
Excellent problem-solving skills, a strong sense of ownership, and the ability to communicate complex concepts clearly.