Primary Responsibilities include:
Familiar in applying multiple approaches for project execution
Adapt existing assets to Operations use cases
Explore third-party and open source solutions for speed to execution and for specific use cases
Engage in fundamental research to develop novel solutions
Work with the Lead in building scalable, performance intensive NoSQL databases
Develop routines using python, spark, NoSQL for exposing data to the product stack.
Develop data mining techniques using state-of-the-art methods.
Processing, cleansing and verifying integrity of data that is collected from transactional systems for analysis.
Research, evaluate, and develop analytical and decision-making methodologies
Select/create algorithms and software needed to perform analyses
Review industry publications and relevant research to develop client-specific solutions and keep current on trends and new offerings in the Data Science space.
Aggregate, analyze data and information and create models to create relevant and actionable insights
Synthesize data, information, and knowledge to form conclusions and recommendations
Test and validate data, information, and models against reality
Research and implement machine learning, data mining and other statistical modeling techniques
Perform ad-hoc analysis and present results in a clear and concise manner.
Desired Candidate Profile
Experience identifying, gathering, and analyzing large datasets
Experience with Cognitive Services from Microsoft, Google, IBM and/or Amazon
Collaborate and create Machine Learning solutions in areas of optimization, simulations, Predictive analytics, and deep learning
Experience with deep learning and cognitive service speech, language, test, and knowledge
MUST have scientific programming experience (Python, etc.); hands-on with Numpy and the Python scientific stack is a must
Demonstrated ability to track and work Big data environment
Exposure to CNN & LSTM Networks
Familiarity with one of the popular NLP libraries like Stanford Core NLP, Apache OpenNLP or NLTK
Strong in programming language like Java or Python
Candidate has to have strong hands-on knowledge on SQL & noSQL databases
Strong Exposure to or Knowledge on NoSQL databases, and distributed computing systems
Excellent interpersonal skills; Must be self-motivated, detail-oriented, and willing to learn.
Hands-on in Python, Matplotlib, SciKitlearn, Numpy, Pandas, Elasticsearch
Strong in Maths/ Statistics
Understanding of domain specific applications
Qualification & Experience:
3-5 Years as a Strong Application Developer for Software Products or Large Applications using Relational/NoSQL Databases
Key Tasks Include:
Using command line tools to perform data conversion and analysis
Supporting other team members in retrieving and archiving experimental results
Quickly writing scripts to automate routine analysis tasks
Creating insightful, simple graphics to represent complex trends
Involve in writing linguistic rules to support information extraction and automatic categorization
Perform strong NLP tasks like part of speech tagging, named entity extraction and text classification and recognition
Evaluating performance of NLP systems against metrics like precision, recall etc.
Hands-on experience with visualization tools like Tableau, QlikView, Qlik Sense and others
Collaborate with other Language Engineers and Data Specialists in data analysis and feature design efforts
Work with Engineering teams to deploy your solutions into a production environment
Excellence in academics with computer science, computational linguistics or information science (or equivalent) background
Interest and exposure in the area of natural language processing and information extraction
Sound analytical & conceptual skills to understand business needs and apply NLP/analytics solutions to solve specific business problems
Familiarity with regular expressions
Interested in learning new things
To be proactive, flexible and determined, able to work under pressure and to match deadlines.
Aptitude to learn, think creatively to solve real world business problems, and work in a global collaborative team environment
Good verbal and written English skills.
Team player with a can do attitude
Ability to work in an interdisciplinary and multi-cultural environment
High degree of flexibility, independent and proactive working style
Ability to work well under pressure and on multiple and conflicting priorities
Strong commitment to quality and timely customer service
UG: B.Sc - Maths, Statistics
PG:Any Postgraduate - Any Specialization
Doctorate:Doctorate Not Required
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Invecas technologies Pvt Ltd
Invecas technologies Pvt Ltd
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