DESIRED CHARACTERISTICS The incumbent will be techie at heart who will be responsible for managing and enhancing the Technology solutions that enable our business to achieve a scalable and reliable growth. They will be a competent technology leader able to provide guidance to our developers who enhance performance in a manner that enables high-quality code deployment for scalable solutions. KEY RESPONSIBILITIES Building consumer facing product that caters to millions of users that visit or use our platform on a daily basis Creating tech products which are agile & flexible in nature – micro-services driven development approach Building of platforms that are self-service driven to enable lending operations, catering to B2B and B2C customers Development of Machine Learning based products that are big data driven and continuously enhance our Lending & match-making algorithms QUALIFICATION and REQUIREMENTS Experience of leading technology team of developers Experience of building scalable technology architecture Experience of using Scrum and Agile Methodologies of software development Experience of working with .Net, ASP.Net (C#), MVC & Azure technologies(added advantage) Understanding of backend architecture and DevOps methodologies for effective implementation Experience range and educational backgrounds EXPERIENCEOverall : 5 to 8 years Relevant: 2+ yearsGRADUATIONAny educational background in any field is preferred.
Company Profile : Precily AI is a startup headquartered in Delhi NCR. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is a data- analysis platform for enterprises that increase the efficiency of the workforce by providing AI- based solutions. Responsibilities & Skills Required : The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following : 1) Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. 2) Proven experience implementing and deploying advanced AI solutions using R/Python. 3) Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. 4) Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). 5) Hand on in handling large amounts of structured and unstructured data. 6) The measure, interpret and derive learning from results of the analysis that will lead to improvements document processing. Skills Required : 1) Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks 2) Word Vectorizers 3) Word Embeddings ( word2vec & GloVe ) 4) RNN ( CNN vs RNN ) 5) LSTM & GRU ( LSTM vs GRU ) 6) Pretrained Embeddings ( Implementation in RNN ) 7) Unsupervised Learning 8) Supervised Learning 9) Deep Neural Networks 10) Framework: Keras/Tensor flow 11) Keras Embedding Layer output
• Experience with Big Data, Neural network (deep learning), and reinforcement learning • Ability to design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Extend existing ML libraries and frameworks • Keep abreast of developments in the field • Understanding of data structures, data modeling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
The duration of this internship is 2 months.