AI Research Engineer - Deep Learning (0-4 yrs)

Position Name : AI Research Engineer

Company : MNC

Experience : 0- 4 years

Location : Bangalore

Primary Skills : Deep learning frameworks and libraries, like PyTorch, TensorFlow, Spacy and HuggingFace, Keras, GEN AI, NLP, ML

About Company :

Company is an AI-powered market intelligence search engine used by the largest and fastest-growing firms globally. Their mission is to democratize access to the world's most important content sets for market analysis. Their customers include 75% of the S&P 100, 70% of the top asset management firms, 76% of the leading consultancies, and the 20 largest pharmaceutical companies. Company helps knowledge professionals become dramatically more productive and gain an information edge by discovering critical data points and trends that others miss.

• Total of $525M+ in VC funding - Series D funded in Jun'22 with a valuation of $1.7B
• Trusted by 4000+ enterprise customers, including a majority of the S&P 500.
• 1000+ people across offices in the U.S., U.K., Finland, and India

We are seeking a passionate research engineer to join our AI Research team. The AI Research team develops the cutting edge deep learning, NLP, search, and generative AI algorithms that power Company's Search and AI products. You'll work closely with a team of talented researchers and engineers to deliver scalable solutions for our world class AI powered search platform.

• An expert in machine learning and deep learning. Ideally, you possess an advanced degree in Computer Science, Computer Engineering or relevant field with a focus on machine learning, but equivalent industry experience may be considered
• Familiar with the state-of-the-art deep learning and natural language processing research
• Extremely proficient in developing end-to-end NLP models using Python and NLP libraries like Spacy and HuggingFace
• Familiar with deep learning frameworks like PyTorch and TensorFlow
• An excellent communicator with strong organizational, problem-solving, debugging and analytical skills

• Develop highly scalable deep learning models and take them all the way to production
• Perform cutting edge research in deep learning, machine learning & natural language processing
• Work closely with cross-functional teams to translate product requirements into machine learning architectures
• Own systems end-to-end including design, code, training, testing, deployment and iteration