Sales Executive

• Strong knowledge in Kafka development and architecture.
• Hands-on experience on KSQL Database.
• Very good communication, analytical & problem-solving. skills.
• Proven hands-on Development experience Kafka platforms, lenses, confluent.
• Strong knowledge of the framework (Kafka Connect).
• Very comfortable with Shell scripting & Linux commands.
• Experience in DB2 database

Job Summary

• Candidate will be responsible for providing full life-cycle development (design, coding, and testing) and maintenance of web-based system on Azure
• Candidate should have experience in GitHub, knowledge of DevOps is a plus
• Experienced in designing and implementing web portals, experience with DNN is must
• Ability to work with multiple languages including C#, ASP.Net, MVC, Javascript and related libraries, HTML, Complex SQL queries, CSS, BootStrap, JSON.
• Experience in Agile project management methodology
• Developing and Delivering Excellent Web based solutions/portals/sites based on customer’s requirement within the stipulated timeline
• The candidate should be flexible to learn new technology and platform and should be creative, innovative for improvement ideas, detail oriented, diligent, and eager to learn and grow

Duties and Responsibilities

• Understand business requirements to apply logic to integrate functionalities
• Identify and understand any technical bugs on the server, site, log files or modules and work on resolving the bugs
• Understand how FTP server is setup for the site
• Understand system/site technical requirements and suggest enhancements if applicable
• Designing, coding, unit Testing, and integration with Database
• Handle site deployment
• Designing, coding, debugging, technical problem solving, and writing Unit Test cases, etc.

Qualifications

Education / Certification

• B.E. / B.Tech. /MSC in Computer Science or IT.
• MCAD/MCSD/MSITP/MCPD

Technical Expertise

• ASP/ASP.NET/VB.NET/MVC/C#/SQL Server 2012+
• HTML, Javascript, Jquery, CSS, Bootstrap
• GitHub/DevOps, Azure
• Web API/ Web Services, Email Services

Skills and Abilities

• Be able to work with diverse global teams and in an individual contributor role as needed
• Excellent English written and verbal communication skills (for local team and global stakeholders/team members)
• Strong task management skills including time management, and ability to manage multiple projects simultaneously
• Flexibility required to attend late evening meetings with global team members
• Attention to detail and delivering quality projects and knowledge assets

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
• Has a Bachelor's, Master's in Computer Science or another quantitative field
• Knowledge and experience in statistical and data mining techniques :
• GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
• Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Cloud Support Associate - Gurugram

Regular working days - Sunday to Thursday

Shift Timing - 9 AM to 5 PM

The database market is massive (the IDC estimates it to be $89B+ by 2024!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas, Cloud Manager (cloud.mongodb.com), Compass, etc to name a few.

Our Cloud Support Associates provide their exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor.

Cloud Support Associates are a key part of our elite Technical Services organization that supports MongoDB customers worldwide, with teams in locations including New York, Austin, Palo Alto, Sydney, Delhi, Dublin and Tel Aviv.

If you’re passionate about the opportunity to get comfortable working with the cloud every single day and be part of a team that works at the frontier of SaaS services and database systems, this is the role for you.

Why MongoDB is a fantastic place to work and build your career

• Be a part of the company that’s reinventing the database, focused on innovation and speed
• Enjoy a fun, inspiring culture that is engineering focused
• Work with talented people around the globe
• Learn, contribute, and make an impact on the product and community

• Investigate customer’s technical issues to find solutions, discover and report bugs
• Technical troubleshooting, log and server analysis
• Customer support by cases or over the phone
• Gather feedback from customers and redirect it to sales, engineering, product and marketing teams

• A passion for solving customer problems
• Prior knowledge of AWS, or other public cloud
• General knowledge of OS (Linux, UNIX, Windows)
• A focus on customer service

• Foreign Language
• Previous Support Experience

To drive our employees' personal growth and business impact, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. https://www.mongodb.com/blog/channel/culture">Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

*MongoDB is an equal opportunity employer*