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
As a Data Science architect, the candidate needs to design and develop reusable NLP and Machine Learning solutions and products for large enterprises. Lead and mentor junior team members, and guide them on solving Industry problems with NLP and Machine learning technologies Do literature review and come up with possible solutions Our ideal candidate will have: Expert programming skills in Python, Java, C#, C++ Hands-on experience with NLP tools for dealing with unstructured data, pre-processing, summarization and categorization. For ex: Core Nlp, Numpy, SpaCy, Gensim, GloVe, Beautiful Soup etc. Experience in writing code for various Machine learning algorithms for classification, clustering, forecasting, regression, Neural networks and Deep Learning Strong problem solving and abstract thinking skills Strong work ethic, fantastic attitude and be comfortable in a dynamic, fast-paced environment. Qualifications: B.Tech/MS/PhD in Computer science or equivalent from Premier Institutions Exp: 4+ Years experience in NLP, ML and Data Science. Location: Hyderabad
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.
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.