Business development executive

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.

Company Details:

Company – PricewaterhouseCoopers (MNC Group)

Website     https://www.pwc.com/">https://www.pwc.com/

About PWC (PricewaterhouseCoopers) -PricewaterhouseCoopers is a multinational professional services network of firms, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people.

 

Job Role - Randstad Payroll (Client Inhouse)

Interview Process – Video Call Interview or Telephonic Interview

Salary – Best in Industry

 

Requirement -  Consultant and Experience Consultant

Qualification -  CA qualified/sCA semi-qualified 

Travelling - Yes

 

 

Roles and Responsibilities

1. Responsible for internal audit procedures and work programs for clients
2. Execute the assignment as per internal standards
3. Drafting of report as per internal standards
4. Ensuring compliance with Audit Standards & completing audits within timelines.
5. Good Comm. skills so as to communicate with clients independently on audit matters

 

Role : Business Development Manager

JOB DESCRIPTION 

DYT - Do Your Thng, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

Requirements:
Min 1-2 years of experience in a sales organisation (would be ideal if person has been selling product similar to DYT)
- Responsible for sales and growth of at least one vertical / region / territory in the organisation 
- Track record of hunting for new business and ability to extract more business from existing clients
- Proven track record of sales growth within the organisation  
- Established relationship with media agencies, preferred would be with digital agencies and PR agencies
- Good negotiating skills
- Good rapport with clients and agency partners
- Ability to work well with cross functional teams

**~ what we are looking for ~**
-understanding with Javascript and Node.js + TypeScript , Express JS
-Familiar with JS tools
-Experience writing code from scratch
-Thrive in a fast-paced working environment, owning deadlines and striving for efficiency
-Familiarity with GIT, Jira, Redmine, or similar project management and issue tracking software
-Working knowledge of design principles, typography, user interfaces, Web standards and usability
-Familiar with interaction design and information architecture methods and principles

**~Job requirements~**
- good in data structure and algorithm
- willing to learn solidity web3 and blockchain technologies
- Handson with Node js and express.js
- working in a young, ambitious, and international team
- good to have experience building an API from scratch
- Are interested in security and its best practices

Job Summary:
The District Sales Manager will oversee sales activities within a defined territory and manage sales
representatives and distributors.
Responsibilities:
 Trains sales representatives and distributors in assigned territory.
 Organizes sales schedules of assigned staff.
 To act like a bridge between the company and distributor with providing stock reports and
product inventories.
 Conducts performance evaluations that are timely and constructive.
 Handles disciplinary action against employees as needed and in accordance with company
policy.
 Mostly to coordinate with Sales executives from his assigned district.
 Sales the company’s products in an assigned territory.
 Monitors existing accounts and regularly communicates with primary contacts for the account.
 Works to establish new accounts in the territory.
 Works toward increasing sales growth in the territory at an established rate determined by
Company.
 To provide map coordinates and beat plans.
 Performs other related duties as assigned.

Required Skills/Abilities:
 Ability to build and maintain business relationships with clients.
 Excellent verbal and written communication skills.
 Excellent management and leadership skills.
 Excellent time management skills.
 Ability to multitask and complete work while traveling.
 Thorough knowledge of territory, market, and clients.
 Excellent problem-solving skills.
 Proficient in Microsoft Office Suite or related software.
 Organized with attention to detail.

Education and Experience:
 Bachelor’s degree in any domain.
 3-4 years of core field sales/ marketing experience required.
CTC- 16 - 25k p.m.
Location: SUNDERGARH, KORAPUT

We need experienced Full-Stack developers for developing strategic web applications for our prestigious Armed Forces client. What we are trying to achieve through application development is essentially digitizing the processes for the Armed Forces. We are looking for web developers in open source technology such as Python, Node.js, React.js etc along with PostgreSQL or Mongo as the backend platform.

Job Overview :

Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.

Responsibilities and Duties :

- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.

- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions

Education level :

- Bachelor's degree in Computer Science or equivalent

Experience :

- Minimum 3+ years relevant experience working on production grade projects experience in hands on, end to end software development

- Expertise in application, data and infrastructure architecture disciplines

- Expert designing data integrations using ETL and other data integration patterns

- Advanced knowledge of architecture, design and business processes

Proficiency in :

- Modern programming languages like Java, Python, Scala

- Big Data technologies Hadoop, Spark, HIVE, Kafka

- Writing decently optimized SQL queries

- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)

- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions

- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.

- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.

- Experience generating physical data models and the associated DDL from logical data models.

- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.

- Experience enforcing data modeling standards and procedures.

- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.

- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals

Skills :

Must Know :

- Core big-data concepts

- Spark - PySpark/Scala

- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)

- Handling of various file formats

- Cloud platform - AWS/Azure/GCP

- Orchestration tool - Airflow