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• Create and execute paid media strategy and establish priorities & tactics for achieving MQLs/KPIs
• Research competition, keywords, create ad copies, monitor performance, conversions, A/B Testing
• Build and optimize keywords lists with a continuous test & learn practice to deliver a strong ROAS
• Manage paid search campaigns, paid social campaigns & display campaigns across LoBs
• Understand campaign objectives and optimize ads for conversions and lead generation
• Manage the service and product websites paid search budgets and monitor ROAS closely
• The report paid analytics with actionable insights to identify gaps and adjust ad campaign spends

Position Requirements

• PPC Campaigns Management Google Ads/FB
• Research Keywords & Competition Tracking
• Campaign Strategy & Execution
• Performance Tracking & Optimizing
• Analytics & Reporting

Experience:

•  7-10 years of experience with online marketing, B2B experience is preferred
• Hands-on experience in the execution of PPC - Google Ads/FB/Insta campaigns
• Ability to develop and execute marketing strategies using online channels and tools
• Detailed understanding of Google Analytics, Google Ads, SEM, and Facebook/Insta Ads
• Ability to write ad/landing page copy as per best practices for Google Quality Scores
• Strong analytics, Data Visualization, and Excel skills

Day-to-day responsibilities include:

• Sourcing profiles from job portals like Indeed, Internshala, Linkedin etc
• Finding companies data. (HR Consultancy)
• Scheduling candidates for interview, following-up, and overseeing documentation.
• Attendance and other HR related work.

Skill(s) required

• English Proficiency (Spoken)
• English Proficiency (Written)
• MS-Excel
• MS-Office
• MS-Word

Greetings!

Wissen Technology is hiring for Python developers.

Required:

• 7+ years of experience
• Looking for core application developer in Python. (Not a ML/Data scientist)
• Must have hands on experience on Python
• Must have exposure in OOPS & SOA concepts
• Exposure in Flask APIs for building Rest APIs
• Good to have exposure on Java or React

Company Profile:

Website : www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

https://www.youtube.com/watch?v=H_rLmHvlOKg

Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview

LinkedIn: https://www.linkedin.com/company/wissen-technology

Azure Chatbot Developer

Location :Bangalore / Mumbai / Pune

Job Description

Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle

f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.

g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET

i) Knowledge of Python and NodeJS is a plus

j) Ability to design and optimize SQL Server 2008 stored procedures.

k) Experience with JQuery, CSS3, HTML5 or similar technologies.

l) Ability to adapt quickly to an existing, complex environment.

You will be responsible to develop product road map and go-to-marketstrategy for new epay products and service.

Key Responsibilities:

• Design & execute Euronet Prepaid Card Product & GTM strategy

• Design and execute Product roadmap for Government Payments, Mutual Funds, Credit Card Bill Payments and other TSP roles that Euronet can play in the market

• Work with Sales teams on new business opportunities evaluation, solutioning and implementation

• Validate product propositions, their value to end clients and cost/pricing impacts

• Work closely with engineering team on the technology development and deployment

• Contribute to both qualitative and quantitative market research as to validate trends and recommend functionality enhancements

• Manage complete product lifecycle, including strategy, conceptualisation, user research, feature requirements, user interface, prototyping, underwriting, execution and Go-to-Market

• Create new offerings by demonstrating cohesive end-to-end thinking and collaborate with cross functional teams to define the work required to successfully deliver and realize a winning product offering

• Determine current and future product needs through own expertise and market knowledge, competitive product benchmarking, feedback from clients, epay sales team and other internal functions

• Be the expert for a complete product solutions space by thoroughly knowing the product functionality, constraints, business process, value, customer profile and industry domain (across core processes), how it’s used, and where it meets or fails to meet customer needs, helps teams solve problems through problem domain expertise

• Track interesting trends on emerging product offerings that are relevant to business

• Liaise with internal marketing team for promotion of products/services

• Support epay sales teams in preparing their sales forecasts based on the product development roadmap and enablement strategy

• Liaise with epay finance team in business case profitability analysis

• Prepare and present business reviews to the Executive Leadership of Euronet

Desired Candidate Profile

• Strong knowledge in MongoDB, MySQL administration having 7+ years hands-on experience
• Hands on experience with Redis
• Strong knowledge in physical database design concepts
• Strong knowledge in High Availability configuration on databases with Master-Slave and Master-Master replication
• Experience with performance optimization (server/ query tuning)
• Good Scripting knowledge in shell scripts
• Must have good knowledge of Performance tuning of MYSQL databases
• Must have good knowledge of database up-gradation
• Understanding of Backup & Recovery
• Ability to multi-task and context-switch effectively between different activities and teams
• Capability to provide 24x7 support for critical production systems
• Excellent written and verbal communication
• Ability to organize and plan work independently
• Ability to work in a rapidly changing environment    

Roles & Responsibilities:

• Create and design various materials for print and digital collateral
• Ensure projects are completed with high quality and on schedule
• Establish creative direction for the company as well as brand guidelines
• Prioritize and manage multiple projects within design specifications and budget restrictions
• Perform retouching and manipulation of images
• Work with a wide range of media and use graphic design and video editing software

Scope:

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology