Main responsibilities: + Management of a growing technical team + Continued technical Architecture design based on product roadmap + Annual performance reviews + Work with DevOps to design and implement the product infrastructure Strategic: + Testing strategy + Security policy + Performance and performance testing policy + Logging policy Experience: + 9-15 years of experience including that of managing teams of developers + Technical & architectural expertise, and have evolved a growing code base, technology stack and architecture over many years + Have delivered distributed cloud applications + Understand the value of high quality code and can effectively manage technical debt + Stakeholder management + Work experience in consumer focused early stage (Series A, B) startups is a big plus Other innate skills: + Great motivator of people and able to lead by example + Understand how to get the most out of people + Delivery of products to tight deadlines but with a focus on high quality code + Up to date knowledge of technical applications
You will be responsible to write original algos to find criminals, build a system that can learn continuously.
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