District Sales Manager

Responsibilities of a Senior Software Engineer (Backend):

• You will be a guide in the entire application lifecycle including research, design, development, testing (dev owns quality), along with continuous deployment and delivery
• Lead design with a major focus on best user experience, performance, scalability and future expansion
• You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills to bring in continuous improvements and implement best practices.
• You will apply the latest technology thinking from our tech radar, adopt best design practices to solve complex problems and ensure our product is the best in usability.
• You will work directly with the CEO and the cross functional product teams, align on the needs of the products and operations.
• You will analyze business, technology challenges and suggest solutions
• Build an “Awesome” team

 

This opportunity is for you if,

• You have 4-6 Years of work experience in building highly-interactive applications using Java, Spring MVC, Spring JMS, Spring JDBC, Spring IOC, Spring Boot, MySQL, MiBatis, ReactJS, Java Script, jQuery, AWS, JMS and have knowledge on wide range of web technologies, tools and Frameworks.
• You have experience in working with Restful webservices
• You have strong knowledge and understanding of design patterns and domain driven design
• You understand fundamental design principles behind building scalable, resilient, and maintainable applications 
• You have functional knowledge of inclusive design: accessibility, and related tooling
• You have consumer web development experience for high-traffic, public facing web applications
• You have knack for writing clean, readable, re-usable code
• You have good knowledge on TDD and CI/CD practices.
• You have experience in managing and publishing releases using Git branching and tools like NPM and YARN.
• You have penchant for learning
• You are a great analytical & logical thinker and someone who loves solving problems
• You are passionate, energetic, enthusiastic and a go-getter
• You are “ FUN @ Work “

 

2-5 years of experience as a Techno-Functional specialist supporting a finance organization with an emphasis on
project management.
Must have 2-3 Project implementation and more than one support experience in Oracle EBS R12
Expert level knowledge of Oracle Applications Framework, Oracle Workflow, Oracle Forms, Oracle Report, XML
Report, PLSQL
Functional knowledge in financial module like, GL,AP, AR PO, Project is must
Extensive use of oracle APIs and interfaces
Experience in performance tuning of the code
Experience in shell scripting.
Worked on Oracle Alert, AME, OAM ,DFF etc
Good to have ADF experience
Good to have ORDS experience
Good to have exposure in cloud technology.
Responsibilities
Act as a senior liaison between Business partners and IT communities
Facilitate cross-functional teams through business process and application initiatives from requirements definition
to prototyping, design, development, testing, training, and deployment.
Create technical designs to support business requirements.
Lead the development of technical solutions.
Communicate project status and escalate issues to management.
Develop and execute system test plans and scenarios.
Assist in preparing training materials for deployment of applications, modules, enhancements and bug fixes.
Assist in developing baseline datasets and reports to support testing of technical solutions

1. Java Lead : 8-12 Years – GGN Location - NP : 60 Days max

 

• Experience on Full stack development and Microservices Architecture.
• Proven experience implementing distributed applications in a container environment (Docker/Kubernetes) along with considerable experience configuring and administrating Linux (or other Unix-like) systems Software engineering experience designing Enterprise Cloud Applications with Golang will be preferred
• Experience in any Databases like Postgres or any NoSQL DB like MongoDb
• Expertise in defining business architecture, business process definition & modelling, use cases, and requirements definition, and associated best practice processes for defining these artifacts
• Proven proficiency in grasping requirements and building illustrative features with minimal specifications
• Experience working in SAfe agile development environments.

Experience in handling and leading a team of engineers to meet the project objectives

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● 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, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

Senior Manager – Finance and Accounts. Responsible for managing a team of 3-4 employees, driving ERP controls, Revenue assurance, assisting in financial reporting & Audits KEY RESPONSIBITIES INCLUDE: • Assuring reporting accuracy in an ERP environment • Ensuring revenue and expense accrual /provisions • Documenting the processes and working with multiple stakeholders for process adherence • Reviewing the reconciliations • Key participant in internal and external Audits • Managing the team to ensure timely day to day and month end accounting close process & reporting for India and Middle East. SUCCESSFUL CANDIDATES WILL POSSESS THE FOLLOWING: • CA / ICWA with at least 6-9 years of core accounting experience in the finance function of a service sector organization. • Expertise in end to end accounting and deep understanding of financial accounting and control activities in India. • Working knowledge of Indian accounting standards. Experience in US GAAP & IFRS accounting a plus. • Must have exposure to any automated accounting / full-fledged ERP package & related controls. • Ability to analyze financial and operational data. • Exposure to auditing controls a definite plus. • Knowledge of Transfer Pricing and related regulatory laws. • Experience in managing a team to meet strict deadlines of financial close process. • Independent as well as team contributor. • Excellent verbal and written communication and stakeholder management skills • Must have strong Microsoft Office skills. Experience: • 6-9 years of core accounting and statutory experience, excluding articleship period. • Higher experience not a constraint. Education: • CA or ICWA

Looking for developer interested to do R&D work on 2D imaging experimenting deep with opencv libraries and optimizing those for mobile devices.