Senior Interior Designer

● Undergraduate degree in engineering is a must. MBA is a plus, preferably from

premier institutes;

● Consultative sales experience: 7 to 9 years;

● Strong work ethic with demonstrated ability to meet and exceed sales

commitments;

● Experience in selling to enterprises, especially banks and insurance

companies is a big plus;

● Deep appreciation of technology and its ability to create value - especially in

areas of big data analytics, machine learning and personalization.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

 CoinCrowd Specialist Content Writer - Crypto (News & Media)

Coincrowd is an innovative Fintech company. We offer a crypto platform for seamless payments, Crypto Vouchers, crypto trading, portfolio management, real time market data, breaking news and powerful analytics.

Website: https://coincrowd.com/   

Domain : Finance, Blockchain, Crypto

Role :  Permanent full time Employment 

Job Location : Work from Home / Remote

Overview: We are seeking a talented Content Writer with a strong interest and expertise in cryptocurrency and blockchain technology. As a Content Writer specializing in shopping with cryptocurrency, you will play a crucial role in educating and engaging our audience about the benefits, trends, and practical aspects of using cryptocurrency for online shopping.

Responsibilities:

• Research and create compelling blog posts, articles, guides, and other types of content focused on shopping with cryptocurrency.
• Develop content that educates our audience on how to use various cryptocurrencies for purchasing goods and services.
• Stay updated with the latest trends and developments in the cryptocurrency and blockchain space, especially related to retail adoption.
• Collaborate with our marketing and social media teams to create content that aligns with our brand voice and marketing goals.
• Optimize content for SEO to increase organic traffic and visibility.
• Monitor and respond to audience engagement and feedback related to cryptocurrency shopping content.
• Assist in developing content strategies that support our overall marketing objectives.

Requirements:

• Proven experience as a Content Writer or similar role with a strong portfolio of published articles.
• Solid understanding of cryptocurrency and blockchain technology, particularly as it relates to retail and e-commerce.
• Ability to simplify complex topics and explain them clearly and concisely.
• Excellent research skills and a knack for staying updated with industry trends.
• Strong SEO knowledge and experience with content optimization techniques.
• Ability to work independently and meet deadlines.
• Strong communication and collaboration skills.
• Bachelor’s degree in English, Journalism, Marketing, or a related field (preferred).

Bonus Skills:

• Experience with cryptocurrency wallets and payment systems.
• Familiarity with various e-commerce platforms and their integration with cryptocurrency payments.
• Graphic design skills or familiarity with creating visual content.

Why Join Us:

• Opportunity to be at the forefront of the cryptocurrency revolution in retail.
• Work with a dynamic and innovative team that values creativity and collaboration.
• Flexible working environment with opportunities for growth and development.

In recognition of your valuable contributions, you will receive an equity based compensation package. Join our dynamic and innovative team in the rapidly evolving fintech industry and play a key role in shaping the future of Coincrowd's success.

Job Description

> Reach out to warm leads on call and schedule product demo.

> Give product demo.

> Understand customer needs and requirements.

> Share product quotation and close the sale

> Maintain relationship with the customers.

> Get customer referrals from existing paid users.

> Provide after-sale support.

> Share weekly and monthly Sales Forecasts of probable conversion.

> Share product feedback to the product management team.

Requirement

> Excellent communication skills

> Prior sales experience is preferred.

> Good Logical and Analytical skills.

Perks.

> Smart and Collaborative team

> Best in the market Incentive Structure.

> Early-Stage start-up experience.

Qualification: Graduate/Post Graduate

Can join us immediately

Job Location: Noida

Number of working days: 6 Days

Job Responsibilities:

1.Make 20 Calls each day to filter and qualify leads as per the program suitability

2.Conduct min of 18 zoom meetings/walk-ins each week for qualified and interested candidates

3.Conduct minimum of 10 assessments each week against the shortlisted and thereby interested for enrolment candidates alone

4.Facilitate the entry level assessment and result discussions with the concerned as instructed by the reporting head
5.Bring in 3 closures each week of meticulously either full sale value or of part payments

6.Exhibit effective client relations and bring in passive income by creating referral database

7.Conduct in person meetings with walk-ins client as assigned

8.Maintain up-to-date MIS reporting (call logs, sales summary sheet, target tracker & Selection list Superr’30). And adapt to any new addition to the list.
9.Ensure 20 closures of 100 qualified leads assigned in a month
10.Attend all weekly review meetings and come prepared with the sales review summary report
11.Liaison efficiently with back-end operations for hassle free client handling and ensure client is informed with no discrepancy of his best chances and impact of our services

12.Attend all training programs as and when requested by the reporting head

13.Facilitate new joiner training programs as instructed by the head.

14.Participate in marketing initiatives as and when required.

Field Sales Representative - AWS Sales Singapore/SEA

Who we are?

Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning and advanced cloud technologies such as Anthos by Google Cloud and AWS Sagemaker just to name a few. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud.

Your bucket of undertakings

Responsibilities:

1. Execute business development plans to ensure that opportunity creation and pipeline goals are met and exceeded while working against KPIs and metrics.

2. Source, identify, and qualify opportunities within potential customers:

Prospect new opportunities using a combination of phone, email, social media, and direct mail to help build our sales pipeline by connecting with prospective customers, understanding their unique needs, identifying the best way to position Searce Inc and her value propositions, evaluate if there is a good fit, schedule meetings and bring prospects to successful sales closure.

3. Collaborate and nurture strategic engagement with Sales and Marketing for outbound messaging and demand generation programs.

4. Source and be able to organize large contact data sets. Use data to identify key target prospects.

5. Work closely with Amazon Web Services on target account lists and find creative ways to break into competitive accounts. Your relationships with customers are crucial in helping Searce futurify businesses and bringing our product portfolio into companies both big and small around the world.

6. Follow up and track closely to assigned targets while ensuring that integrity and bringing positive business outcomes to the clients are not compromised.

So, what are we hunting for ?

● 8-10 years of technology sales and business development experience, particularly within the AWS ecosystem.

● Experience managing and developing a pipeline of qualified leads and opportunities within software, SaaS, Analytics, BPM or IT products or her related services.

● Understanding or previous experience working within the Public Cloud ecosystem (Amazon Web Services, Google Cloud Platform, etc. - and their related services) is required.

● Consistent record of meeting and exceeding sales targets.

● Highly effective verbal and written communication skills in English.

● True passion for sales and technology.

● Self-starter with tons of energy, passion, humor, and enthusiasm.

● Critical problem-solving skills to handle customer questions and overcome objections.

● A great sense of humor and enjoys having fun with colleagues.

● Passionate, persuasive and able to articulate the value of the  Cloud Ecosystem to instill a sense of interest and credibility for Searce and oneself.

● Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.

● Strong service attitude and a commitment to quality.

● Highly organized and efficient with strong work ethics

● Confident working with others to inspire a high-quality standard

Education, Experience, etc.

1. Is Education overrated? Yes. We believe so.

a. However there is no way to locate you otherwise. So we might look for a graduate degree in engineering with a sales mindset or you started your business at 12 and sold it post high school. And the latter is better. We will find you faster if you specify the latter in some manner. :)

2. Comfortable working in an all-hands start-up environment - owning a project, wearing many hats to get the job done, attention to detail and strong follow-through.

3. Strong work ethic, track record of high productivity and sales achievement.

How do we work?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

Humble: Happy people don’t carry ego around. We listen to understand; not to respond.

Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.

Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.

Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.

Innovative: Innovate or Die. We love to challenge the status quo.

Experimental: We encourage curiosity & making mistakes.

Responsible: Driven. Self motivated. Self governing teams. We own it.