Profile Brief/ Responsibilities • Keep up-to-date with latest technology trends. • Work closely with Project/Business/Research teams for identifying the best model for a given problem • Research and build highly efficient and state-of-the art models • Selecting features, building and optimizing models using machine learning techniques. Requirements • 2-5 years of relevant industrial experience in Machine Learning and Deep Learning with: Strong working knowledge in Python, C, C++, Linux. • Excellent understanding of Machine Learning Techniques and Algorithms. • Excellent understanding of Text Analytics concepts and methodologies - Named Entity Recognition, Text Classification, Event Detection, Sentiment Analysis, POS Tagging, Bag of Words. • Hands-on experience with Neural Networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD, etc), Support Vector Machine, Conditional Random Field etc. • Experience with GPU/DSP/ISP/SoC architecture and system software • Python, Tensorflow/Caffe/CUDA/Keras • Ability to see big picture, think innovative and suggest out of box solutions. • Ability to write high performance structured code. • Exposure to recent developments in Deep Learning domain
Job Description – Data Scientist About Company Profile Precily is a startup headquartered in Noida, IN. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is 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: • Natural Language Processing (NLP), Neural Networks , Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. • Measure, interpret, and derive learning from results of analysis that will lead to improvements document processing. Skills Required: • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • Word Vectorizers • Word Embeddings ( word2vec & GloVe ) • RNN ( CNN vs RNN ) • LSTM & GRU ( LSTM vs GRU ) • Pretrained Embeddings ( Implementation in RNN ) • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Framework : Keras/tensorflow • Keras Embedding Layer output Please reach out to us: firstname.lastname@example.org
About the company: GyanDhan is India's first education loan marketplace. We’re on the mission to ensure that financial obstacles never stand in the way of someone’s education dream. By leveraging data science, we provide awesome education loan options to students pursuing higher studies. Launched in Apr 2016, we have already received a phenomenal response with over INR 150 crores in sanctions (as of Sep 2017)! We count Sundaram Finance as an investor. We have been featured in TOI, Eenadu, Malayala Manorama and several startup newsletters such as YourStory, VCCircle etc. Want to be a part of the fight against inequality in education? Join us! Job description: Reporting to the CEO, the senior software developer will be responsible for leading the efforts on product development for GyanDhan. We are on the lookout for a candidate who will be part of the leadership team at GyanDhan in the future. The ideal candidate is not afraid to get his hands dirty, and is equally comfortable leading a team of developers when needed. Responsibilities Build a truly online interface that reduces the frictions in the current loan application process Focus on customer experience, both for the borrower and the lender side of the platform Partner with the decision science lead to ensure seamless integration with data providers and lending partners Desired profile / qualities Full-stack development experience Self-starter: Someone who can can handle develop independently Passionate about problem solving, ability to see the big picture Realizes the value of 80-20 Good to have: Prior startup experience / experience in setting up a tech team Prior experience at a bank / fin-tech / non-banking financial player in a technical role Github projects that we can look at Regular participation on Codechef, Topcoder etc. ( If yes, please cite your rank and pass on a link to your profile! ) FYI, our Tech Stack comprises: Ruby on Rails, Postgres, AWS, jQuery ESOPs will be over and above the base salary.