
Job Details*
We're a Saas startup and are looking for a passionate UI/UX cum Product Designer to join our team in order to assist with UI/UX design. We're working on next age customer service automation technology and our unique training methodology can truly help us usher a paradigm shift in the way that customer service is delivered across the world.
- Able to work in good coordination with production managers and engineers.
- Capable of generating new ideas.
- Should have hands-on experience with Photoshop and Illustrator.
- Should have experience with logo design, corporate brand identity design, web UI design, app UI design.
- Identify and troubleshoot UX problems.
- Discuss the idea with the internal team.
- Knowledge about style standards on fonts, colors, and images.
- Develop UI mockups and prototypes.
Join us and watch your designs come to fruition. We'll let your creative ideas truly come to life!
Job Summary*
We're working on next age customer service automation technology and our unique training methodology can truly help us usher a paradigm shift in the way that customer service is delivered across the world.

About Busibud Solutions
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aravindgorla
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kiaraglobalservices.com
or
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Academic Qualification: Any Graduate (B. Com, B.Sc., BBA) or MBA (Marketing)
Experience: 4+ Years of experience
Job Summary & Key Responsibilities :
Must own a two-wheeler & a valid driving license
Skills & Proficiency:
Experience in Building Materials, Construction, Insurance or other industry.
Work experience in the real estate industry or construction industry having contacts in builders, Developers & construction companies is preferred.
Communication Skills: English, Telugu & Hindi



Minimum 2 years of working experience.
Can work on live projects of international clients.
Can handle multiple projects
Error-free coding.
Required Experience, Skills and Qualifications
Objective-C, or increasingly, the Swift 3.0 programming language
Apples Xcode IDE
Frameworks and APIs like Foundation, UIKit, and CocoaTouch
UI and UX design experience
Apple Human Interface Guidelines
2D and 3D graphics frameworks like SpriteKit and SceneKit
OpenGL or Metal, iOS graphics APIs
Familiarity with iOS 10 and newer OS versions
A Git code repository technology
Strong Objective-C skills and inside-and-out knowledge of the iOS SDK.
Experience using and creating scalable web-based Restful APIs.
Qualification- Any Graduate
Location -Ahmedabad
Work Timing: Monday - Saturday (9:30 am to 6:30 pm) Week Off: Sunday
Duties & Responsibilities:
- Minimum of 6 months of experience in sales.
- Take ownership of functional and sustainable business growth of 'The Dollar Business' brand.
- Contact businesses and private individuals by telephone to promote our services.
- Be responsible for building and managing a sales force and distribution network capable of marketing and selling Vimbri Media's full product line in his / her territory.
- Coordination and follow ups for sales activities.
- Explain the product or service to potential customers.
- Adjust scripted sales pitch to meet needs of specific individuals and provide pricing details.
- Use of initiative to identify and follow up opportunities with companies/clients who are not already on the database
- Doing cold calling and fixing up the appointments. Follow-up for collection (Payments) Achievement for assigned target.
- Update daily reports to Manager
- Performance will be reviewed on weekly basis by the manager.
- Achieving sales volume/business targets (No. of New Entities).
- Contribute to the team performance by sharing and implementing Best Practice Ideas.
About Company
The Dollar Business (TDB) is the most exclusive and only multi-featured platform on foreign trade in India. Its origin is a result of a business house with over six decades of experiments and experience in foreign trade willing to put an end to guesswork while doing business for Indias export-import community. Transparency in trade, analytics to drive business, and insights that make sensethese are the three pillars on which the tower of The
Dollar Business stands today. And of course, theres the beacon of integrity that makes TDBees a proud group actually, a very proud group! Since its genesis, TDB has championed the cause of Indias foreign trade community. It offers everything that exporters, importers, foreign trade facilitators and those in the manufacturing and services sectors.
Job Type: Full-time
Salary: ₹20,000.00 - ₹25,000.00 per month

• C++ , Unix Environment ( Linux/AIX/HP UX), Oracle/MySQL
• Excellent command on OOPS
• Minimum of 3 years (for Mid and Junior) of hands-on work experience in C++, Unix
• Oracle/MySQL
• Hands-on experience of using data structures, STL, Boost libraries, Design patterns
• Exposure to XML or Edifact is desired
• Exposure to XSLT mappings is a plus
• Excellent troubleshooting skills
• Exposure to CppUnit (or similar tools)
Experience range:
• 4 to 8 years of experience
Joining Location:
• Pune, Gandhinagar & Hyderabad (Preferably Pune & Gandhinagar)
Job Summary:
As a Talent Acquisition Associate, you will play a crucial role in attracting, sourcing, and hiring talented individuals to meet the organization's workforce needs. You will collaborate with hiring managers and stakeholders to understand their requirements, devise effective recruitment strategies, and execute end-to-end recruitment processes.
Responsibilities:
- Collaborate with hiring managers to understand their talent requirements, including job descriptions, qualifications, and other relevant details.
- Source, screen, and assess candidates using various channels such as job boards, social media platforms, professional networks, and internal databases.
- Conduct phone screens and initial interviews to evaluate candidate qualifications, skills, and cultural fit.
- Coordinate and schedule interviews with hiring managers and other stakeholders, ensuring a smooth and efficient recruitment process.
- Build and maintain a strong candidate pipeline for current and future hiring needs.
- Assist in the development and implementation of recruitment strategies to attract top talent.
- Maintain accurate and up-to-date candidate records in the applicant tracking system (ATS).
- Provide timely updates and feedback to candidates throughout the recruitment process.
- Assist in negotiating and extending job offers to selected candidates.
- Support onboarding activities for new hires, including completing pre-employment checks and paperwork.
Requirements:
- Bachelor's degree in Human Resources, Business Administration, or a related field.
- Proven experience as a Talent Acquisition Associate or in a similar recruitment role, preferably within the IT or technology industry.
- 1-3 years of relevant experience in end-to-end recruitment processes.
- Familiarity with applicant tracking systems and other recruitment tools.
- Strong sourcing and networking skills to identify and engage with potential candidates.
- Excellent communication and interpersonal skills.
- Ability to effectively prioritize and manage multiple recruitment assignments.
- Understanding of employment laws and regulations.
- Results-oriented mindset with a focus on meeting recruitment targets and deadlines.
- Highly organized with attention to detail.


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.
MSBI Developer-
We have the following opening in our organization:
Years of Experience: Experience of 4-8 years.
Location- Mumbai ( Thane)/BKC/Andheri
Notice period: Max 15 days or Immediate
Educational Qualification: MCA/ME/Msc-IT/BE/B-Tech/BCA/BSC IT in Computer Science/B.Tech
Requirements:
- 3- 8 years of consulting or relevant work experience
- Should be good in SQL Server 2008 R2 and above.
- Should be excellent at SQL, SSRS & SSIS, SSAS,
- Data modeling, Fact & dimension design, work on a data warehouse or dw architecture design.
- Implementing new technology like power BI, power bi modeling.
- Knowledge of Azure or R-programming is an added advantage.
- Experiences in BI and Visualization Technology (Tableau, Power BI).
- Advanced T-SQL programming skill
- Can scope out a simple or semi-complex project based on business requirements and achievable benefits
- Evaluate, design, and implement enterprise IT-based business solutions, often working on-site to help customers deploy their solutions.

*>Well proven experience in JavaScript frameworks like NodeJS, JQuery, ReactJS
*>Knowledge on Node.js and frameworks such as Express JS , require JS etc.
*>Thorough understanding of React.js and its core principles
*>Familiar with newer specifications of EcmaScript and modern authentication mechanisms like JSON web tokens
*>Must have strong experience in Relational databases like MYSQL etc. and NoSQL databases like MongoDB, Cassandra etc.
*>Experience in cloud technologies like GCP, Azure is must
*>Should be able to work independently as well as lead the teams.
*>Knowledge on chatbot frameworks such as Microsoft Bot Framework
*>Experience in HTML5, CSS3, SASS, LESS is an added advantage

