Business Development Executive

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.

Roles and Responsibilities

• Proficient in Java, with a good knowledge of its ecosystems
• Solid understanding of object-oriented programming
• Familiar with various design and architectural patterns
• Skill for writing reusable Java libraries
• Knowledge of concurrency patterns in Java

Main Skills required

Java

Spring boot

Hibernate

Desired Candidate Profile

T.E: 4+ years

Job Location : Gurgaon, Bangalore, Mumbai, Pune

Package : Negotiable

Notice Period : MAX 15 Days

Perks and Benefits

Shift timings - Day

- Salary should not be a constraint for the right fit 

Please Note:- kindly share this job requirement with your acquaintances, relative & Friends who are looking for change in same profile or else feel free to call on below mention contact name & No.during (10:00 Am-05:30 pm)(Mon-Fri) 

Send resumes at preeti.bedi(at)programming.com

Current location -

Relevant experience (in years)-

Last drawn / Current CTC-

Expected CTC-

• 5+ Years of experience of relevant experience.
• Understanding of the mobile advertising ecosystem, mediation & bidding setup, a keen eye for gaps in the app monetization strategy, and an innovative mindset to fill them.
• Should be highly-skilled ad revenue management professional with a proven ability to strategize & execute your vision.
• Strong experience in a mobile ad revenue and monetization role.
• Hands-on experience in managing monetization across a portfolio of mobile products.
• Knowledge of Ad Networks, Mediation and RTB.
• Understanding of the Google AdMob framework and experience in dealing with ITV issues.
• Excellent communication skills 
• Ability to ideate & execute    
• Experience in managing & executing monetization across multiple apps (products) and use cases is a big plus    
  
  
  

   

Job ID: RP1050

Job Location: Mumbai or Gurugram

Expected Joining: within two weeks

Job Requirement:

• 4 to 7 years of experience in the lending domain.
• Proficiency with selenium using Java or Python
• Proficiency in Linux, network database, distributed system.
• Develop test plans, identify quality risks and propose reasonable solutions
• Organize and execute test tasks

About Us:

Mobile programming LLC is a US-based digital transformation company. We help enterprises transform ideas into innovative and intelligent solutions, governing the Internet of Things, Digital Commerce, Business Intelligence Analytics, and Cloud Programming. Mobile programming is SAP Preferred Vendor, Apple Adjunct Partner, Google Empaneled Mobile Vendor, and Microsoft Gold Certified Partner.

• Deep knowledge in one or more domains of the study required for the function.
• Capability to write clear and structured technical documents.
• Ability to participate in multi-lingual meetings, very good communication skills, and able to work in a team.
• The capability of working in an international/multicultural environment.
• Ability to apply high quality standard

• Good experience in Angular.
• Good experience & knowledge of latest trends in Java, J2EE, Spring framework, Oracle, SQL, HTML, XML, XSD.
• Good knowledge of web services (SOAP, REST).
• Good knowledge of Cloud Technologies and Micro Services is an asset
• Experience with the following tools/ frameworks: Maven, GIT
• Experience in PKI is an asset

• The methodology is Agile
• Reporting tools are JIRA and Confluence

• Provision of expert advice and assistance, technology watch, architectural considerations, applicable standards, solution patterns, and best practices in Angular,
• J2EE, Web services, and SSL/TLS technologies
• Providing solution options
• Development of applications (full stack) using the technologies/tools mentioned in the specific expertise
• Review of Information Systems Infrastructure Architectures
• Performing PoC in the requested technologies
• Participation in user, service, and project meetings
• Create / update documentation as part of knowledge management
• Strive for innovation and open to new trends

Job Summary

Require a java developer having 2+ years of experience especially in Spring and Hibernate

Job Type: Full-time
Responsibilities and Duties
Java developer responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
- Contribute in all phases of the development lifecycle
- Write well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
Key Skills
JEE, JPA2 , Hibernate
Required Experience and Qualifications
Proven hands-on Software Development experience
- Proven working experience in Java development
- Hands on experience in designing and developing applications using Java EE platforms
- Object Oriented analysis and design using common design patterns.
- Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc)
- Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
- Experience in the Spring Framework
- Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC)
- Experience with test-driven development
Job Type: Full-time

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce