Medical Writer

Hands on experience:
1.Wordpress Development
2.PHP Programming
3.OOPS Concepts in PHP
4.Advanced custom and Security Plugins
5.Good Problem Solving skills.
6. Ability to create/tweak existing plugins
7. Ability to create multiple dashboards apart from admin dashboard
8.Good Knowledge in DB - MySQL/PostGreSQL
9.Ability to debug Frontend applications
10.Http/REST

Good to have Understanding of:
1.Wordpress Hooks
2.HTML, CSS, JS, Github tools, AWS, Basics of React JS.,Github link
3. Ability to create API over existing plugin data

We are looking out for a Flutter Developer who will be running and designing product application features across various cross platform devices.

• You will be building and shipping robust apps to Android/ iOS devices using a single codebase.
• You will be writing readable and clear code using Dart that will be extensively documented for future use and upgrades.
• You will be sharing feedback and brainstorming ideas with teams to improve the development process.
• Understand basic concepts of design for developing user friendly applications.
• Stay up to date with the latest technologies.

 

What you need to have:

• Any graduate degree    
• Proven experience in Sales and management of a Sales team
• Experience working in a startup, building the team from scratch.
• Strong leadership and communication skills
• A knack of strategizing to drive actual sales and maximize revenue

 

Company Profile: Thrymr Software is an outsourced product development startup. Our primary development center is in Hyderabad, India with a team of about 100+ members across various technical roles. Thrymr is also in Singapore, Hamburg (Germany) and Amsterdam (Netherlands). Thrymr works with companies to take complete ownership of building their end to end products be it web or mobile applications or advanced analytics including GIS, machine learning or computer vision. http://thrymr.net Job Location Hyderabad, Financial District Job Description: As a Data Scientist, you will evaluate and improve products. You will collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems. As a Data Scientist your responsibility will be (but not limited to) Design, benchmark and tune machine-learning algorithms,Painlessly and securely manipulate large and complex relational data sets, Assemble complex machine-learning strategies, Build new predictive apps and services Responsibilities: 1. Work with large, complex datasets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. 2. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data ​structures and metrics, advocating for changes were needed for both products development and sales activity. 3. Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to various products. 4. Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. 5. Research and develop analysis, forecasting, and optimization methods to improve the quality of uuser-facingproducts; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments. 6. Apart from the core data science work (subjected to projects and availability), you may also be required to contribute to regular software development work such as web, backend and mobile applications development. Our Expectations 1. You should have at least B.Tech/B.Sc degree or equivalent practical experience (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). 2. You should have practical experience of working experience with statistical packages (e.g., R, Python, NumPy ) ​and databases (e.g., SQL). 3. You should have experience articulating business questions and using mathematical techniques to arrive at an answer using available data​. Experience translating analysis results into business recommendations. 4. You should have strong analytical and research skills 5. You should have good academics 6. You will have to very proactive and submit your daily/weekly reports very diligently 7. You should be comfortable with working exceptionally hard as we are a startup and this is a high-performance work environment. 8. This is NOT a 9 to 5 ​kind of job, you should be able to work long hours. What you can expect 1. High-performance work culture 2. Short-term travel across the globe at very short notices 3. Accelerated learning (you will learn at least thrice as much compared to other companies in similar roles) and become a lot more technical 4. Happy go lucky team with zero politics 5. Zero tolerance for unprofessional behavior and substandard performance 6. Performance-based appraisals that can happen anytime with considerable hikes compared to single-digit annual hikes as the market standard

Niki is an artificially intelligent ordering application (niki.ai/app). Our founding team is from IIT Kharagpur, and we are looking for a Natural Language Processing Engineer to join our engineering team. The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data available from Indian mobile consumers and elsewhere. Major responsibilities would be: 1. Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc. 2. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models 3. Work closely with product teams to implement algorithms that power user and developer-facing products We work mostly in Java and Python and object oriented concepts are a must to fit in the team. Basic eligibility criteria are: 1. Graduate/Post-Graduate/M.S./Ph.D in Computer Science/Mathematics/Machine Learning/NLP or allied fields. 2. Industry experience of 2-7 years. 3. Strong background in Natural Language Processing and Machine Learning 4. Have some experience in leading a team big or small. 5. Experience with Hadoop/Hbase/Pig or MaprReduce/Sawzall/Bigtable is a plus Please share your resume to [email protected]