Infogain Hiring for Software Engineer at Noida, Uttar Pradesh, India Full Time

Job Description

ROLES & RESPONSIBILITIES

• Must have delivered end to end AI/ML Models in production environment
• Very good Data Analytic skills, Data cleaning experience
• Think out of box and doing lot of research.
• Must know how to tune models, balance and prepare the data, doing feature engineering
• Very good hands on in Python, Pandas, Numpy, Open CV, Matplotlib, Sklearn, Tensorflow, Keras, SciPy, Genism etc
• Excellent in Machine Learning Skills: Supervised and Unsupervised Learning, Clustering, Ensemble Methods, Random Forest, Decision Tree Approach, Linear Regression, Logistic Regression, Nearest Neighbors, Neural Networks, Support Vector Machines (SVM), Recommender Systems, Time Series, Natural Language Processing (NLP), Topic Modeling, Entity Extraction
• Deep Learning: Convolutional Neural Network (CNN), R-CNN, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Resnet, YOLO, Auto-encoder, Embedding, Transformers
• Must read lot of whitepapers on Data science
• Always update and explores latest algorithms on AI/ML
• Proficiency in using query languages such as SQL
• Experience with NoSQL databases”

EXPERIENCE

• 9 Months – 2 Years

SKILLS

• Primary Skill: AI/ML Development
• Sub Skill(s): AI/ML Development
• Additional Skill(s): Python

ABOUT THE COMPANY

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.