Azure Architect

Key Responsibilities

• Communicating with hiring managers to identify future job openings and the technical requirements for those jobs.
• Writing job descriptions and posting to relevant media platforms. Screening applicants for competency with the job requirements.
• Arranging telephone, video, or in-person interviews.
• Performing background and reference checks.
• Presenting the resumes of the most suitable candidates to the hiring manager.
• Offering job positions and completing the relevant paperwork.
• Keeping track of all applicants as well as keeping applicants informed on the application process.
• Forecasting recruitment budgets.
• Interview candidates combining various methods (e.g., structured interviews, technical assessments and behavioural questions)
• Build a candidate CRM to ensure a solid pipeline of qualified candidates - ensuring candidate data is kept updated.

Candidate Profile:You have:

• Proven work experience in recruitment - ideally as a Technical Recruiter
• Hands-on experience with various interview formats (e.g., Teams, Zoom, Google Hangouts)
• Technical expertise with an ability to understand and explain job requirements for IT roles.
• Experience using LinkedIn Talent Solutions to source quality candidates.
• Excellent verbal and written communication skills
• Strong tenacity and ability to build a solid network.

Awesome to have:

• Any experience working in Healthcare Technology

Education and Experience:

• Degree in HR, communications, marketing, business or similar
• 2 year of HR experience in a Tech Company
• Strong experience in tech-based roles
• Good interpersonal and decision-making skills.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Job description for Backend Developer:

Responsibilities
• Hands-on experience in Springboot and good knowledge of MySQL, MongoDB
• Hands-on experience in building RESTful based APIs
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Integration of user-facing elements developed by front-end developers with server-side logic
• Building reusable code and libraries for future use
• Optimization of the application for maximum speed and scalability•
• Implementation of security and data protection

Skills And Qualifications
• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3
• Understanding accessibility and security compliance (Depending on a specific project)
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Management of hosting environment, including database administration and scaling an application to support load changes
• Data migration, transformation, and scripting
• Outputting data in different formats
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient knowledge of a back-end programming language (Java 8 and above and Spring Boot)
• Proficient understanding of code versioning tools, such as Git
• Proficient understanding of OWASP security principles
• Understanding of “session management” in a distributed server environment

Required qualification:

*)  Any degree from a reputed university

*) Proven software development experience and Java/J2EE skills development. 

Company Description:

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers in the center of all innovation and value they are delivering.

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We’re looking for a Sr. Full Stack Developer who will take a key role on our team. Our

Full Stack developer must have knowledge in all stages of software development.

You’ll be working alongside other engineers and developers, collaborating on the

various layers of the infrastructure for our SAAS platforms.