If you enjoy the challenges of working at a start-up and passionate about meeting new people and building strong relations then keep reading. eKincare has developed India’s first AI based personal health assistant. eKincare’s patent pending technology reads medical data from health records and various healthcare interventions to predict future health risks and provide timely personalised recommendations to beat those risks. Recognised among the “100 most innovative digital healthcare companies in the world” by the journal of mHealth, we are leveraging technology and data science to make healthcare simple. See our story @ https://yourstory.com/2016/04/ekincare-growth-story/ If you're an energetic, street smart, creative, hungry "crushing it" kind of professional and are interested in truly making a difference in Indian healthcare then apply now! Before it's too late! • We expect you to work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms. • You will be responsible for developing proprietary handling large amount of structured and unstructured data • You will be expected to use relevant knowledge of computer science fundamentals, and machine learning to help build scalable analytical solutions • You will ensure that the data science team works closely with our technical team for design and development of the analytical solutions Pre-requisites and skillsets for this role: • 4+ years of experience in applying concepts in Data Science, Machine Learning, Algorithm development, Advanced Computing or Statistical Modeling to solve real-world problems. • Familiarity with python (Jupyter notebook) & its frameworks in – scikit learn, Keras, Pytorch. • Strong modelling skills and ability to build practical models using advanced algorithms such as Random Forests, Neural Networks etc., • Undergraduate degree from premier institutions such as IIT, BITS, NIT etc. • Strong communication skills enabling you to clearly communicate your thoughts/work to external or internal teams
Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.