MS D365 FUNCTIONAL CONSULTANT

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.

Opening Positions: Software/Website/Android/IOS Developers
Work location: Chandra Layout, Vijayanagar, Bangalore.
Process: End-to-End Development

We are looking for a Senior Front End Engineer.

• Hands-on with contemporary javascript frameworks (React js Angular js)
• Hands-on with UI layouts, SASS, LESS, Bootstrap
• Developed reusable components and libraries for frontend
• Frontend optimization techniques to reduce latencies
• Frontend optimization for SEO
• Excellent written and verbal communication skills, design thinking
• Practical experience with engineering best practices and Technology

 

Key Responsibilities:

• Build desktop and mobile web applications using contemporary javascript frameworks

 

•Actively participate in design and code reviews to build robust
applications and prototypes

 

•Explore and design simple and intuitive consumer experiences

 

•Work closely with Product managers, UX designers and back end
engineers to implement frontend solutions

 

•Build reusable code and libraries for future use, focus on long-term code
maintainability

 

•Work in a fast-paced and agile development environment

i2V Systems builds products in the video surveillance domain. We are looking for Full Stack developers who are capable solving complex problems, and have a strong will to get things done.

 

Job Responsibilities:

• Work on designing and development of new software products.
• Work on Improving, optimising and maintaining existing software products.
• Helping deployment team deploy products you work on.

 

Skills required:

• Good knowledge in C#, Javascript.
• Hands-on development experience in of. NET and Angular framework.
• Good knowledge of basic data structures and algorithms.
• Experience in database design preferrable.
• Familiarity with database technologies such as MySQL and PostgreSQL.
• Ability to learn new technologies, frameworks and programming languages.

Android Developer:

1 to 5 years of experience Android mobile app development

• Proficient in Kotlin
• Experience in MVVM Code architecture
• Understanding of using Jetpack libraries in Android
• Experience in RxJava techniques
• Capable of learning a new technology like Flutter
• Knowledge in Android app life cycle
• Have experience in Android app submission in PlayStore
• Ensure the performance, quality, and responsiveness of applications
• Proven software development experience and Android skills development
• Proven working experience in Android app development
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle

Key accountabilities

 Ensure and manage delivery of customer commitments - Service Levels & quality of Service Delivery

 Customer Relationship Management – drive follow up, urgency, and client first culture working alongside engagement teams; focus on creating success in new opportunities and sustaining success in ongoing ones; handle escalations in an appropriate way with focus on client retention

 Resource Management – Resourcing, forecasting, utilization, efficiency & attrition management

 People management – focus on retention, upskilling, competency development

 Financial – Provide inputs on costs needed to appropriately estimate pricing, manage overall finance for the verticals

Experience-

 18+ years of extensive experience in service delivery and management

 Experience in Digital Marketing is highly desirable

 Minimum 8 – 10 years experiencing managing a group of 300+

 Experience in managing multiple stakeholders and international stakeholders/clients

 Demonstrated skills and abilities managing and improving service delivery metrics

 High level of initiative and self-motivation

 Must quickly adapt to and adopt change

 Demonstrated experience in making a difference to the employer and the clients

Functional Skills

 Strong Delivery & Services Management experience

 Must be a quick learner and be quick on his/her feet

 Work with a sense of purpose and urgency

 Exposure to External Audit / Certification

 Exposure to quality processes and Project Management fundamentals

 Must be able to scale with a rapidly growing organization

Behavioural Skills: (Includes leadership)

 High degree of customer focus, thinks customer first

 Presentation and executive presence

 Assertive & Passionate People Management Skills

 Ability to work through multiple internal stakeholders

 Initiative and Tenacity

 Dependability and accountability

 Integrity and Work Ethics

Desired candidate must possess the below:

 Proven ability to work with and present to end customers

 Proven ability to work collaboratively with sales and service teams in different locations

Proven ability to drive change