AIML Data Scientist (AI/ML)

TL;DR

AIML Data Scientist (AI/ML): Applying Machine Learning & Deep Learning algorithms to solve complex business challenges with an accent on model accuracy, business impact estimation, and data pre-processing. Focus on designing, developing, and deploying Deep learning models using frameworks like TensorFlow/PyTorch and integrating them into applications.

Location: AIA-Chennai

Company

hirify.global is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era.

What you will do

• Apply Machine Learning & Deep Learning algorithms to solve business challenges, improving model accuracy and estimating business impact.
• Understand business context and data to apply relevant Deep Learning solutions.
• Pre-process data and perform feature engineering using Python, R, SQL, and cloud data pipelines.
• Design, develop, and deploy Deep learning models using TensorFlow/PyTorch for text, speech, image, and video data.
• Optimize and tune Deep Learning models for best possible accuracy.
• Work with application teams to deploy models on cloud or on-prem, building CI/CD pipelines and integrating via REST APIs.

Requirements

• Location: AIA-Chennai
• 3 to 12 years of experience in AIML Data Science.
• Hands-on experience applying Machine Learning & Deep Learning algorithms and techniques.
• Proficiency in Python, R, SQL, and cloud data pipelines for data pre-processing and feature engineering.
• Experience designing, developing, and deploying Deep learning models using TensorFlow/PyTorch.
• Experience with Deep learning models for text, speech, image, and video data, including NLP and image recognition.
• Strong understanding of machine learning, mathematical, and statistical sciences.
• English: B2 required for effective communication.

Nice to have

• Keen contributor to open-source communities (e.g., Kaggle).
• Ability to process huge amounts of data using PySpark/Hadoop.
• Experience in Reinforcement Learning, Optimization/Genetic Algorithms.
• Operationalizing Deep learning models for customers, understanding scaling nuances.
• Experience with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud.

Culture & Benefits

• High caliber team that appreciates and supports one another.
• Energetic, collaborative, and inclusive workplace.
• Global community with over 300,000 associates.
• Fosters an innovative environment for career path building.
• Focus on people, clients, company, communities, and climate.

Hiring process

• Applicants may be required to attend interviews in person or by video conference.
• Candidates may be required to present their current state or government issued ID during each interview.