Navaera Worldwide - Specialist - Emerging Systems

Company Profile : Navaera Worldwide is a global, full-service firm that specializes in advanced knowledge management products and services designed to help Financial organizations improve operational efficiency, Manage Risk, Detect Fraud and gain competitive advantage. The privately held company has diverse clients around the world including major corporations in the financial services industry. As a brand, Navaera Worldwide provides complex business products and solutions to small and large organizations through Navaera Global Services. Navaera Worldwide has offices located in three continents with global headquarter based in New York. Other offices are in Toronto, Canada & Baroda, India. Designation : Specialist, Emerging Systems Engineering. Experience Range : 3 Year to 5 Years. Roles and Responsibilities : - Should be able to work in the areas of Data Analytics, Computer vision, NLP, OCR related task. - Data collection, Dataset preparation, Architecture modeling, model training/testing and deployment. - Should have experience in handling digital data extraction and processing. - Should be able to create training as well testing pipeline with different aspects of data. - Must have experience in creating model architecture from scratch as well strong enough to transform pre-trained models. - Should be very well equipped with the latest AI trend to keep the process up to date. - Identify opportunities for process improvements, recommend system modifications. - Working with minimum of technical supervision and supplemental engineering support, while responding efficiently to multiple program priorities. - Working well in a team environment and being able to effectively drive cross-team solutions that have complex dependencies and requirements. - Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering, Artificial Intelligence, Deep learning etc. Requisites : - B/B.Tech in Computer Science/Statistics/IT/ECE stream M or Ph. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. - Experience in C/C++/Java/Python for developing machine learning/deep learning solutions. - 3-5 years of experience in data science, machine learning/Deep learning. - 3-5 years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms. - 3-5 years of hands-on experience with Python and any framework such as TensorFlow, PyTorch or MXnet along with ML libraries such as scikit-learn, NumPy, pandas, Keras etc, and/or natural language processing using NLTK, spaCy, Gensim, etc. - Good communication and interpersonal skills. - Experience in decision science tools and techniques will be added advantage. - Strong problem solving and conceptual thinking, with ability to communicate even complex ideas in a succinct manner. - Ability to work in a fast-paced and deadline driven environment. - Strong work ethics like sense of collaboration and ownership. (ref:hirist.tech)

Location: vadodara, IN

Posted Date: 5/8/2025