Sales Consultant

Executive – Recruitment

1. Recruitment (External & Internal):

 Understanding client requirements via conversation / JD / meeting.
 Sourcing candidates through job sites / social media / referrals / contacts.
 Qualifying candidates.
 Getting candidates shortlisted by clients.
 Arranging interviews with clients and getting subsequent feedbacks.
 Handling doubts/queries of clients and candidates.
 Salary negotiations.
 Hand holding candidates for resignation/joining.
 Coordinating the above with client and candidate.
 Invoicing & payment.
 Hand holding the candidate for the replacement period.
 Reporting in detail to management on daily basis.

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.

A South DELHI based NGO, Wishes and Blessings urgently requires an experienced FULL TIME Social Media Manager( strategy/ content/growth ) (based in Delhi)

KRA
1)Developing and Implementing social media strategy

2) Handling all media handles ( Twitter/ Facebook/ instagram/LinkedIn/YouTube)

3)Writing content for social media (captions/ hashtags)

3) Influencer marketing

4) Collaborations and contests

We are seeking a high performing and motivated individual to join our team in Delhi. The requirements are as follows:

* Bachelor’s degree.

* 2+ years of experience in working as a Social media manager (Working in a non-profit setup preferable

* Excellent command over written and spoken English.

* Ability to make reels/ stories

* Ability to work alone and stay motivated as well as work well in a team set-up.

* Excellent management skills.

Salary 30,000-35000 per month depending upon experience and knowledge

Pls note Agencies are NOT eligible to apply.

Job Type: Full-time DELHI BASED

Job Type: Full-time

 

 

What you need to have:

Qualification Required:

• Minimum 2 year of work experience
• Graduate or Diploma in related field
• Relevant experience candidates will be highly preferred

 

Skills Required:

• Objective c and Swift language Mandatory
• Strong knowledge of Fundamental, Design Pattern,
• iOS framework - Core Data, Core Animation,
• Offline Storage, Threading
• Knowledge of UI / UX Standards, Apple Design Principles and Interface Guidelines
• Understanding of code versioning tool Git
• JSON, Xml Reading, Rest API calling, Push Notification, cocoa pods, cocoa-touch

 

What to Expect:

• Flexible Approach when working in a team
• Time management skills and ability to do multitasking
• Accuracy and attention to details
• Candidates with self-motivation & Dedicated towards work
• Should be able to handle iOS Development projects from the first day

 

 

 

Benefits:

• Enjoying and friendly work environment
• 21 paid leaves in a year
• Good career growth opportunities and can a long-term association with the organization
• Fixed yearly appraisals based on performance
• No Formal dress code policy (Decent Casuals is ok with us)
• Company follows Flexi hours Policy

• Cold calling, relationship building, follow up through emails.
• Generating new sales orders.
• Acting as a bridge between customers & the company.
• Identify relevant new business opportunities
• Efficiently and effectively process assigned opportunities into new business sales
• Research and build new and existing prospect accounts (i.e., adding contacts, sending regular emails, appointment setting)
• Consistently meet or exceed monthly and quarterly sales targets to secure new business

Specific Skill Set:

• Must be Very Good at English & Kannada Communication.
• Should have at least 2 years of experience as a Sales promoter in the medical field.
• A strong desire to become a sales professional.

Responsibilities:

• Build React Native apps from scratch that'll be used globally.
• Architect App infrastructure systems like caching, state manager, common validation framework, etc.
• Launch the apps in different app stores like Apple, Google, etc.
• Create custom reusable Component Library
• Create data visualizations like charts, tables, dashboards, etc.
• Write well tested, beautiful, performant and bug free code.
• Thrive in a collaborative team environment and work with challenging timelines.
• Establish and advocate front-end coding guidelines.
• Mentor team members and help resolve any critical blockers.

Requirements:

• A self-driven, hard-working Frontend engineer with an eye for detail.
• Bachelor's Degree or equivalent in Computer Science
• Minimum 4 years of overall experience with expertise in working in React Native, Redux and TypeScript
• Strong understanding and knowledge of Styling
• Experience in writing native code for Android and iOS
• Strong debugging skills for Android and iOS.
• Experience in launching apps in various App Stores.
• Experience with GraphQL is a plus.
• Familiarity with modern front-end build pipelines and tools

Spotnana is a stealth startup that is building the technology stack to solve the experience, trust, and transparency challenges that legacy players in a $1.8 trillion industry refuse to.  We were told it can’t be done - and now we’re doing it.

 

Based in the San Francisco Bay Area, our founding team consists of veterans from Google, Amazon, Twitter, Airbnb, Expedia, ThoughtSpot, FreshDesk, Goldman Sachs, Oyo, SAP, and Cohesity 

Join us to find out what Silicon Valley investors and early backers of Airbnb, Amazon, Facebook, LinkedIn, Brex, Palantir, Revolut, and Snowflake see in our mission.

Let's explore creating one of the best pieces of work ever made, together.

ReLiva Physiotherapy & Rehab (www.reliva.in) is a leading, fast growing physiotherapy organisation with clinical locations in Mumbai, Pune, Hyderabad, Bangalore and Chennai, Kanpur, Jaipur, Delhi.
We are looking for dynamic & enthusiastic Customer Care Executive for our practice for the following location :-

Nerul, Navi Mumbai

Responsibilities:-
1. Attending day to day enquiries and scheduling them with respective doctors
2. Greeting patients doing follow up calls
3. Coordinating with Doctors, Patients for appointments, payments etc.
4. Maintaining patient records
5. Manage front office operations - Handle and screen telephone calls, routine mail. Provides information by answering questions and requests. receive and direct visitors and clients.

Should have Basic Knowledge of MS Office and MS Excel
Candidate should be from Nerul or able to come to the Nerul Clinic and work there.

Should have good communication skills

Speaks languages like Tamil, Telugu & Kannada.

Job Type: Part-time

Salary: ₹8,000.00 - ₹10,000.00 per month

Challenging projects to work on Being part of a dynamic growth oriented company Should be passionate and eager to learn new technologies Self-starter Goal oriented Should take complete ownership and responsibility of tasks assigned