SAP Fiori UI5 Programmer

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.

Deskera, borne out of South East Asia, is a company that has a simple mission; Take care of the software that powers SMEs and SMBs to run their business at an economical price. Founded in 2008, Deskera is committed to building excellent accounting and sales software that targets the pain points of SMEs with its cloud-based offering.

Deskera's suite of products has three robust offerings; Books and Sales. Books addresses all accounting needs any business might have from invoicing, inventory, and financial documentation. Sales allow for customer and vendor contact management. The suite is available on both the web and mobile platforms, so as a business owner or employee, you are always within access to your business's pulse and needs. Deskera has empowered many SMEs globally by providing innovative business functions across diverse industry segments such as manufacturing, engineering, construction, education, and Government.


What you will do daily
 Designing, building, prototyping, developing, and implementing single page responsive web
applications for our cloud platform.
 Involved in decision making for design and technical aspects for modular and component-based architectures.
 Developing application code, services, user interfaces, user experience and unit tests.
 Ensuring high performance and responsive applications with state-of-the-art user experience.
 Experimenting with new technologies and working with integrated web-applications.
 Collaborating and iterating with the Product Managers, UI/UX and Backend teams to define, design, build, extend products and features.

What you will bring with you
 You have previously worked for 4 years in a technical environment contributing as a programmer.
 You have proven expertise in the JavaScript ecosystem and used frameworks like ReactJS, Angular or Vue.
 You have exposure to Golang, TypeScript, HTML5, CSS3, JavaScript, jQuery, MySQL and Firebase.
 Strong sense of web design and attuned to the fundamentals of UI/UX, including accessibility and usability.
 You have the ability to write comprehensible, testable, secure code with an eye towards
maintainability.
 You have the working knowledge of several architectural approaches, data structures, algorithms, programming languages, distributed systems, information retrieval, caching, data storage and security.
 You have had the exposure to internet security, SEO, Node, NPM, Yarn, and any related technology or domain would be an added benefit.
 You must have strong debugging and problem-solving skills.
 You have a Bachelor’s Degree in computer science, engineering or related field.
 You have excellent communication skills, both verbal and written.
 You must be collaborative and adaptable to change.

Expected Experience: • Experienced between 4-6 years relevant work experience in any reputed organization Requirement: • Hands on complete Design / Implementation of CI/CD Processes with Git • Hands-on in-depth knowledge of GCP like VPNs, VPCs, Storage, Tagging and monitoring, alerting of resources • Experience in development of access control lists • Hands on experience in containerization (Docker, Kubernetes) • Experience in with automation using any scripting language • Hands on experience in configure and manage data sources like MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc. • Experience in monitoring services via tools such as Graylog, Syslog, NewRelic, Prometheus, Nagios, etc. Roles & Responsibilities: • Architecting, designing, implementing and supporting of projects using cloud technologies • Production support responsibilities for software and infrastructure fixes • Day to day operational support of continuous integration, release and source control tooling • Work with software, infrastructure, network engineers and DBAs to solve productivity challenges, drive efficiency, automate and streamline environment builds • Co-own monitoring & alert configuration to detect, triage and resolve issues quickly • Build tools to enhance production triage and improve time to detect issues You must be: • A team player who likes to work hard and play harder, have excellent interpersonal, organizational and time-management skills. • Able to think strategically and analytically to effectively complete assigned work within given timelines. • Someone who possesses excellent written and oral communication skills and have an attention to detail • A person with an ability to multi-task on multiple projects and tasks at the same time • A person who gives importance to attention to detail and be highly organized • Positive and upbeat with the ability to learn quickly • Be able to laugh. At others and most importantly at yourself. Need a sense of humor. You can expect: • A fast-paced, high-growth startup environment where you will gain a career and not just a job. • The company to invest in your personal and professional development. We support your ongoing education and training by reimbursing you for relevant educational courses. • An open office culture, no cabins or cubicles and a place that is looking for your input to help us grow • The support of your teammates to always do better. Own it and win together! • Exposure of International Retail market. Learn about a high growth industry and build critical skill-sets. • Excellent employee referral program. Refer your friends, work with your friends and be awarded for it. • Work along with smart, creative and energetic team who truly believe in ‘working hard and partying harder!’ Educational Requirement: • UG - B.Tech/B.E. – Computer Science/ IT or equivalent • PG - M.Tech - Computer Science/ IT, MCA – Computers or equivalent