1. seo
2. sem
3.. adwords
4. facebook ads
5. link building
6. content writing
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· GST, TDS, P&L STATEMENT, BANKING KNOWLEDGE & LOAN DOCUMENT PREPARING MANDATORY SKILLS
·
Sustain strong relations with existing clients to ensure their long-term satisfaction and retention.
· Collaborate with various departments to create and implement sales strategies and meet sales targets.
· Prepare sales presentations and showcase the benefits of the product to prospective customers.
· Negotiate favorable contracts and agreements with clients to ensure the satisfaction of both parties.
· Address client inquiries and resolve their issues promptly, thus enhancing customer service quality.
· Stay updated on the latest industry trends and the competitive business landscape.
· Collaborate with internal teams to support overall sales activities and enhance the client experience.
· Prepare regular sales reports and update the management on departmental activities, progress, and daily challenges.
· Attend industry events and conferences to build professional networks and prospective client base with product demonstrations.
· Track market changes and competitor activities to identify growth opportunities.
· Assist the product development team in making product enchantments based on client feedback.
· Conduct market audits to identify new business opportunities and prospective clients.
· Work closely with the marketing department to develop promotional content and campaigns.
· Manage the entire sales pipeline to ensure that all leads are followed promptly.
· Stay updated on the market best practices and sales and account management regulations.
Account Executive Qualifications
· Bachelor’s degree in business administration, marketing, or a related field.
· Prior experience of 5-12 years as an Account Executive or a similar sales role.
· Strong communication and interpersonal skills.
· Ability to build strong rapport with clients and colleagues.
· Excellent negotiation and persuasion skills.
· Strong organizational and project management skills.
· Proficiency with MS Office Suite.
·
Package Bike Delivery Boy for Dubai
Job Description:
We are looking for reliable and hardworking individuals to join our team as Bike Delivery Boys in Dubai. This is an excellent opportunity for individuals looking to start or further their career in the delivery industry.
Key Responsibilities:
- Safely and efficiently deliver packages to designated locations.
- Ensure timely delivery of goods as per the company’s schedule.
- Maintain the condition of the bike and report any issues immediately.
- Follow traffic rules and company safety guidelines.
- Provide excellent customer service by being polite and professional.
Qualifications and Requirements:
- Age: 21 to 40 years old.
- Language: Basic English is required.
- Physical Ability: Must be physically fit to ride a bike for extended periods.
- License: No prior bike license required; training and license will be provided.
Location: Dubai, UAE
Salary: Fixed AED 2,150 per month
Overtime: AED 7.5 per delivery commission
Employment Type: Direct Employment Visa
Process Timeline:
- India Process: 15 to 20 days.
- Dubai Process: 1 to 1.5 months to obtain a bike license.
Benefits:
- Free accommodation.
- Emirates ID provided.
- International bike license.
- Bike, fuel, and maintenance costs covered by the company.
- SIM card and recharge provided by the company.
- Comprehensive insurance coverage.
About Us
Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.
Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.
The Opportunity
If you are a talented and driven person with experience in the domain of Natural Language Processing/ Spoken Language Understanding and want to join a high-impact team at the core of Observe.AI's mission, then this role is for you!
This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powered products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems.
If you are excited about building and owning cutting-edge ML-powered product capabilities, and working on both algorithms as well as platforms, you’ll love the job!
What you will get to do:
- Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI’s product offerings, in a fast-paced startup environment.
- Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies.
- Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product.
- Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale
- Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
- Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
- Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform.
- Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.
What we are looking for:
- Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP.
- 5+ years of industry experience in building large-scale NLP systems.
- Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications.
- Good understanding of recent trends in NLP around transformers, language models, text classification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc.
- Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production.
- Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
- Excellent communication, collaboration skills, and presentation skills.
- Experience with Spoken Language Understanding is a plus
- Published papers in top NLP conferences or workshops are a plus
- Relevant open-source contributions are a plus
About the ML Team
We are a strong 30+ member Machine Learning team with a focus on Speech and NLP. Our mission is to deliver the best of AI capabilities to revolutionize the world of Contact Centers through Observe.AI’s product offerings. We push the boundaries of Spoken Language Understanding to develop ML capabilities that power innovative product features for our customers, and our ML platform processes millions of contact center interactions per day. That said, we are a bunch of super fun folks to hang out with beyond work as well :-)
Compensation, Benefits and Perks
Excellent medical insurance options and free online doctor consultations
Yearly privilege and sick leaves as per Karnataka S&E Act
Generous holidays (National and Festive) recognition and parental leave policies
Learning & Development fund to support your continuous learning journey and professional development
Fun events to build culture across the organization
Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)
Our Commitment to Inclusion and Belonging
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.
Want to work with friendly environment, Join us!
APPITSIMPLE
URL: https://appitsimple.com/about.
Designation : Business Developement Manager
Exp: 3 - 6 years
Salary : 6 - 8 LPA
Rotation shift.
Job Summary:
To generate leads along with assigned team & Identify decision makers within targeted leads and initiate the sales process.
To manage time and work flow and create effective client meeting plans.
To penetrate all targeted key accounts and originate upselling opportunities for the companies products and services.
To set up and deliver sales presentations, product/service demonstrations on daily basis.
Will be responsible for key client retention, per key client revenue optimization & renewals.
To ensure systematic follow-up with the client organizations to take the sales pitch to time-bound closure.
To be an interface between the customer and internal support teams to ensure that the customer receives the best possible service from the company.
Ensure High Class Service delivery to identified key clients.
Closely monitoring of work in progress, customer complaints and accounts receivables.
To ensure that all payments are collected as per the companies payment terms.
Ensure adherence to sales processes and requirements.
Achievement of monthly, quarterly & yearly business plan.
Knowledge:
Knowledge and application of sales & servicing techniques such as: Seek Opportunity, Rapport building, selling on emotion, ownership, building value in the product, and upselling.
Providing technical expertise for every phase of the project lifecycle—from concept
development to solution design, implementation, optimization and support. Interacts
with a set of clients (client senior developers and architects) to create technology
specifications from business requirements for one of the modules within the project.
Prepares the technical design of the more complex technology components within the
module (one or more of client/web presentation tier, server tier, data access and data
model, integration component, package function customization).
Assists the architect in articulating the pros and cons of using a certain technology stack
or component or design pattern versus another to the clients and project team and
drives selection of technologies, designs to come up with the optimal architecture.
Drives the performance tuning, re-design and re-factoring for a module.
Contributes to designing and implementing the build, releases process as well as system
configuration and deployment characteristics of the application.
Required Tech Stack
2+ years of strong development skills in Java with JDK 1. 8 & above version &
Microservices with Spring boot/ Spring.
Should have strong acumen in Data Structures, Algorithms, problem-solving and Logical/
Analytical skills.
Thorough understanding of OOPS concepts, Design principles and implementation of
different type of Design patterns.
Sound understanding of concepts like Exceptional handling, Serialization/Deserialization
and Immutability concepts, etc.
Good fundamental knowledge in Enums, Collections, Annotations, Generics, Auto
boxing, etc. Experience with Multithreading, Concurrent Package and Concurrent APIs Basic
understanding of Java Memory Management (JMM) including garbage collections
concepts.
Experience in RDBMS or NO SQL databases and writing SQL queries (Joins, group by,
aggregate functions, etc.)
Experience with at-least one NoSQL (Any of Cassandra/Couch base/Hadoop), Hands-on
experience with JMS
Hands-on experience in creating RESTful webservices and consuming webservices
Hands-on experience with Spring.
Hands-on experience with any of the logging frameworks (SLF4J/LogBack/Log4j)
Experience of writing Junit test cases using Mockito / Powermock frameworks.
Should have practical experience with Maven/Gradle and knowledge of version control
systems like Git/SVN etc.
Good communication skills and ability to work with global teams to define and deliver
on projects.
Sound understanding/experience in software development process, test-driven
development
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.
Roles and Responsibilities:
- Designing graphic content, illustrations, and infographics.
- Managing graphic designs from conception to delivery.
- Reviewing junior designer drafts to ensure quality.
- Generating fresh concepts.
- Ensuring brand consistency throughout various marketing projects.
- Liaising between the marketing and design teams to ensure deadlines are met.
- Keeping up-to-date with industry developments.
Skills and Qualifications:
- Bachelor’s degree.
- A graphic design qualification or similar.
- 2-3 years of experience in Graphic Designing.
- Portfolio with design projects.
- Proven work experience as a graphic designer.
- Working experience with image design tools (e.g. Photoshop and Adobe Illustrator).
- A keen eye for visual details.
- Aesthetic skills.
- Ability to meet deadlines and collaborate with team members.
Salary: 5-6 LPA
Location: Mumbai
About the job
Do you like to write clean and comprehensible code? Does it make you happy to talk to your team mates about solutions to technical challenges every day? Are you impressed with simple and elegant solutions that solve mind-boggling problems?
If we are describing you, please read on!
Who is QbD Software?
At QbD Software we build cloud-based technology that helps our customers in the Pharma, Biotech and Medical Devices industries manage everything quality, process and product related. Our customers make life-saving and live-enhancing products that make a difference in the world. Our technology helps them to get their products and services to market fast while complying with regulation requirements by providing them with a pre-validated SaaS solution.
What would your job be like at QbD Software?
You would be working closely with your fellow software developers, side-by-side, challenging each other on who comes up with the simplest and most elegant solution to a technical problem. You will move as one Scrum Development Team and look out for each other like seasoned team mates on a championship sports team.
Your responsibilities:
- Write clean, comprehensible, and well-documented code following our software development life cycle
- Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions
- Provide information by collecting, analyzing, and summarizing development and service issues
- Review code for accuracy and functionality
- Support other software developers by providing advice and coaching
- Keep up-to-date with industry trends and technology developments
What you'll need:
- More than 8 years of experience as a software developer
- At least 4 years of experience with PHP, Laravel, SQL
- At least 2 years of experience with one of the following: AngularJS/React/VueJS
- You must be a team player
- Proactive and with a getting-things-done mindset
Why would you work for us?
At QbD Software, we care about results. If you can deliver then you belong with us. You will be working with a company with strong industry partners, a good track record with an exponential growth in the coming years, and colleagues with big hearts, sharp skills, and professional work ethic. We will allow you to work 100% remote so that you can balance your work and your personal life the way you want. Say goodbye to pointless commutes and traffic once and for all. Let's save the earth together.
- email designing
- know-how of wikipedia and how to add/edit articles
- SEO
- Tags Implementation
- keyword research
- back links research & building
- IMDb Page maintenance