
b. Services existing accounts, obtains orders, and establishes new accounts by planning and organizing daily work schedules to call on existing or potential sales outlets and other trade factors.
c. Adjusts content of sales presentations by studying the type of sales outlet or trade factor.
d. Focuses sales efforts by studying existing and potential volumes of dealers.
e. Submits orders by referring to price lists and product literature.
f. Keeps management informed by submitting activity and results reports, such as daily call reports, weekly work plans, and monthly and annual territory analyses.
g. Monitors competition by gathering current marketplace information on pricing, products, new products, delivery schedules, and merchandising techniques.
h. Recommends changes in products, service, and policy by evaluating results and competitive developments,* Resolves customer complaints by investigating problems, developing solutions, preparing reports, and making recommendations to management.
i. Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.
g. Provides historical records by maintaining records on area and customer sales.
j. Contributes to team effort by accomplishing related results as needed.
k. Builds business by identifying and selling prospects; maintaining relationships with clients.
l. Maintaining Daily Sales Report. Collect and analyze information and prepare data and sales reports.
m. Meet with potential clients to determine their needs.
n. Presentation skills for preparing monthly, half yearly and yearly forecasting.
o. Maintains quality service by establishing and enforcing organization standards.
p. Updates technical knowledge and current market trends.

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Key Responsibilities:
- Video Editing : Edit and enhance video content by cutting, color grading, and integrating motion graphics to produce polished final products.
- 2D Animations: Create engaging 2D motion graphics and animated videos for digital platforms such as social media and websites. Knowledge of 3D animation software like Blender is a plus.
- Project Management: Manage multiple projects simultaneously, delivering high- quality work within tight deadlines. Strong organizational skills and multitasking abilities are crucial.
- Trend Awareness: Stay updated with the latest video trends used by brands and UGC content creators to ensure our content is market-relevant.
Skills Required:
- Proficiency in video editing software such as Adobe Premiere Pro and After Effects.
- Strong skills in graphic design tools like Adobe Illustrator, Photoshop, and Figma.
- Solid understanding of motion graphics principles, including animation, typography,and visual effects.
- Experience with 3D software like Blender or Cinema 4D is a plus.
- Excellent aesthetic judgment and attention to detail.
- Ability to work independently and provide creative direction based on briefs.
As a Flutter developer, you’ll work on our mobile app that is built with Flutter. You’ll help to plan and develop new features, review other people’s code, fix bugs, help in technological and business decisions, and support the internal team. You will take initiative to run projects/features smoothly.
Requirements:
- At least 1 year of Flutter experience in a production environment
- At least 3 years of industry experience
Nice to have:
- Having the knowledge required to write native plugins in Swift or Kotlin is an asset
- Having a background in native iOS and/or Android development is a big plus (e.g. experience with Xcode, Gradle, Android Studio).
- Familiar with one or more CI/CD environments: CircleCI, Gitlab, Github, etc. Knowing your way around Fastlane to build & deploy your app comes in handy
- Experience in working with state management libraries such as Riverpod
- Familiar with writing tests for your application: unit tests, widget tests and integration tests
- UI / UX design principles
- Good understanding of coding best practices and design patterns
- Understanding of security technologies (encryption, authentication, OAuth 2.0)
- Contribution to open source projects
- Interest and ability to learn other coding languages as needed


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.

4 years+ experience in full stack development
Highly proficient in JavaScript, Node.js and Vue.js
- Good foundation in CS fundamentals – algorithms, data structures
- Strong design and data modeling skills
- Good understanding of SQL and NOSQL databases
- Good concepts of object oriented programming and design patterns
-
Location - Remote
Good to have
- Familiarity with microservices design and testing
- Familiarity with docker based setup
- Prior experience in designing scalable microservices
- Familiarity with cloud infrastructure and cloud deployment
- Familiarity with CI/ CD pipelines

- Design and construction of platform with the best possible encryption and security mechanisms
- Compare different design options and take technology-driven design decision
- Define Data model/Information model
- Define services and convert functional requirements to design
- Define APIs and implement them
- Build front end based on user experience design
- Test and Debug as required
- Write Technical Documentation
- Optimize code and design for Performance
- Design and implementation of continuous integration and deployment pipelines
Expected Qualifications and Key Skills
- Working experience in Spring, Spring-boot or equivalent, Hibernate or equivalent persistence framework.
- Working experience of No SQL databases such as MongoDB or equivalent
- Working experience of setting up Production environment including SSL certificates, logging, backup, archival, etc.
- Working experience of JavaScript frameworks such as React JS, JQuery, etc.
- Working experience of API gateways and Web services such as REST
- Working experience of using GIT
- Working experience of a dev-ops tool such as Jenkins
- Deployment experience on Azure/AWS
- Microservices design and development
- Excellent understanding of Data Structures and Algorithms
- Understanding of OOP and Design Patterns
- Works well in a team setting
- Can multitask, adapt to shifting priorities, detail-oriented
- Good work ethic, including a sense of individual responsibility
- Comfortable working on changing requirements in a growing company
- Must be analytical, flexible, innovative, and self-motivated
- Experience with payment platforms and processors would be a plus


- A strong sense of ownership
- Exceptional technical skills
- Ability to understand the problem and craft the right solution
- Strong software architecture skills
- Dedicated to completing projects of the highest standards, on time
- Passionate about the work they undertake
QUALIFICATIONS:
To be considered for this position you must possess the following qualifications:
- A minimum of 3.5 years of industry experience
- Previous experience working with a team on a large, complex project
- Excellent communication skills (verbal and written skills in the English language)
SKILLS:
Please find the below mandatory skills required for Senior .Net resources, kindly source accordingly.
- Strong in C#.Net
- MVC (Min 2 Yrs)
- Web API (Min 1 Yr)
- Good in SQL and DB operations
- Should have used latest features of C#.Net
Database:
- Entity Frameworks (LINQ) (Min 1 Yr)
- ADO.Net (SQL)

Unity Developer at Ahmedabad
Job Description
We are seeking a developer responsible for building games for various target platforms based on the Unity framework. Your primary responsibilities will be to implement game functionality translating design ideas, concepts, and requirements into a functional and engaging game. A commitment to collaborative problem solving, sophisticated design, and a quality product are essential.
Experience : 01-03 Years
No. Of vacancy : 03
Responsibilities
- Implement game functionality as per communicated design
- Translate design specification into functional game
- Communicate with other team members to establish effective pipeline and integrate media assets
- Design, build, and maintain efficient, reusable, and reliable code
- Ensure the best possible performance, quality, and responsiveness of applications
- Identify bottlenecks and bugs, and devise solutions to address and mitigate these problems
- Help maintain code quality, organization, and automatization
Skills
- Excellent knowledge of Unity, including experience with scripting, textures, animation, GUI styles, and user session management
- Familiarity with level design and planning
- Experience with game physics and particle systems
- Experience with mobile and console game development
- Experience optimizing memory and space usage for support of older hardware
- Experience with 3D is a plus
- Prior experience with a well-known mobile title or AAA titles are a significant asset
- Ability to constantly learn and stay in touch with evolving game standards and development technologies
- Strong understanding of object-oriented programming
- Familiarity with current design and architectural patterns
- Knack for writing clean, readable, and easily maintainable code
- Experience implementing automated testing platforms and unit tests



