Digital Marketing Coordinator

Are you ready to join an innovative EdTech revolution that's changing the world of

education?

Look no further than Questt! Our data-driven approach is helping students of all ages

and backgrounds unlock their full potential and achieve their dreams.

As our SBDA, your responsibilities will be :

● Planning and executing cold outreach in the form of messages and calls to

attract new leads.

● Reaching out to prospects through calls or messages to assess their needs.

● Nurturing the leads, following up with them, and understanding their issues inside

out.

● Achieve agreed-upon sales targets and outcomes within schedule.

● Coordinate sales efforts with team members and other departments.

● Analyze the market’s potential, and track sales, and status reports.

● Supply management with reports on customer needs, problems, interests,

competitive activities, and potential for new products and services.

● Keep abreast of best practices and promotional trends.

● Continuously improve through feedback.

We’d additionally be looking at

● Quick Turnaround Time

● Good communication skills, ability to work with different departments

● Self-motivation, ability to work under pressure and meet deadlines

● Receptive to constructive criticism, and delivering changes as directed

● Technical know-how

To be successful in this role, you should have:

● Good knowledge of MS Office

● Highly motivated and target-driven.

● Excellent negotiation, and communication skills.

● Prioritizing, time management, and organizational skills.

● Ability to create and deliver presentations tailored to the customers' needs.

● A healthy attitude towards constructive criticism.

Nature of Work:

● Work from our Office

● You will be working 6-days a week

● You get 0-1 Building Experience

● Freedom to experiment and innovate

● High Ownership of tasks

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.

Roles and Responsibilities

1.

Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.

Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.

Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.

Oversee and facilitate MHFAI instructors for training and upskilling.

5.

Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.

Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.

Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.

Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.

Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10.

Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11.

Provide support in other operational functions of MHFA as needed.

Requirements:

•

3-15 years in clinical work and / or mental health training

•

Qualification: Msc. Counselling Psychology

Msc. Applied Psychology (any specialization, preferably HR Specialization )

•

Experience in Clinical Practice / Research

•

Exposure to mental health training and created content or training on Mental Health for Adult

•

Experience of having previously worked in organized group is desirable

Position: Senior Analyst QA (Automation Testing)

Experience: 4-6 years

Years Location: Bengaluru

We are a multi-award-winning creative engineering company offering design and technology solutions onmobile, web and cloud platforms. We are looking for an enthusiastic and self-driven Test Engineer to join ourteam.

Roles and Responsibilities:

• Responsible fortesting Web Application.

• Responsible for Automation testing: Design, develop and execute automation scripts using open-source tools like Appium, Selenium and QMetry.

• Responsible for writing clear, concise, and comprehensive test plans and test cases.

• Handle ClientInteractions

Desired Profile:

• Extensive experience in Automation Testing of web application

• Experience in Manual Testing

• Hands-on testing experience on Selenium, Appium, QMetry.

• Strong knowledge ofsoftware QA methodologies, tools, and processes • Experience with performance and/orsecurity testing is a plus.

• Excellent Communication Skills & Client Interactions.

Good to Have:

• Experience in manual testing

• KPI driven

• Should be a team player

• Independently evaluates issues and proposes solutions

• Raises issues/concerns on time

• Good if he/she has experience testing AI/ML model

Qualifications:

MCA, BE/B.Tech - All Regular - 65% Above 

We are looking for a collections manager to monitor staff and oversee the procedures to reduce the

amount of unpaid debt the company incurs. You will also be responsible for negotiating extensions with

clients or write-off debt to minimize the company’s potential loss of income.

To be a successful collections manager, you should be analytical and have great report-writing skills.

Ultimately, a top-notch collections manager should have extensive knowledge of collection laws, and

continuously find ways to improve the company’s debt recovery.

Collections Manager Responsibilities:

 Overseeing staff members and ensuring the accurate and timely invoicing of customers.

 Setting payment collection goals and targets for the department.

 Creating and implementing a strategy to improve the collection of outstanding credit.

 Implementing collection policies and procedures to avoid excessive outstanding credit.

 Ensuring that the company policy on recoveries is followed and that it is in line with state and federal

regulations.

 Implementing deadlines for invoicing and payment collection.

 Negotiating with customers in cases when non-payment occurs.

 Preparing monthly feedback reports on payment collections.

 Remaining informed of any legislative procedural training regarding debt collection.

 Training and mentoring of staff members in the collections department.

Collections Manager Requirements:

 Bachelor’s degree in finance, accounting, or a related field.

 We are looking for a Manager who has worked for a first bucket loan collections process

(including payday loans and installment loans).

 The applicant should have international collections experience

 3-5 years experience as a collections manager.

 Experience with accounting software such as QuickBooks and General Ledger and advanced knowledge

of MS Excel.

 The ability to work accurately and independently.

 Good verbal and written communication skills.

 Excellent analytical skills and an eye for detail.

 Outstanding leadership and managerial skills.

 Strong time and people management skills.

 Ability to work to strict deadlines.

 Ready to work at US Shift

We are looking for an experienced Lead Java Developer to join our team and take a leadership role in driving the design, development, and delivery of highquality software solutions. A Senior Java Lead Developer will be responsible for leading a team of developers, providing technical guidance, and ensuring the successful execution of projects. Should have a strong background in Java development, excellent leadership skills, and a track record of delivering complex software projects on time. System Architect: Should have Architect the system before for a large scale solution Understanding of various java design pattern and use the pattern which is more appropriate Understanding of various micro-service design pattern and use the pattern which is more appropriate Has worked on DDD with CQRS Has designed solution for multi tenant application. Technical skills: Used latest version of java and good understanding of it Skilled in spring boot, spring MVC Basic Skill: 10+ years of experience in development. Good communication skills in English. Testing: Skilled in using Junit Security: Good understanding of application security Understanding of DDOS and best practice for that Good understanding of rate limiting API Good understanding about spring security or any thing better Database: Great understanding of MySQL Experience in extensively using hibernate Debugging: Understanding about Logging Skilled in debugging production issue

• Worked as a Node.js developer on multiple projects with relevant experience between 1 to 4+ Years.
• Extensive knowledge of Nodejs, JavaScript, APIs, web stacks, libraries, and frameworks.
• Able to work on independent nodejs projects.
• Experience in mongoDB database queries. Able to write and manage complex DB queries .
• Exceptional analytical and problem-solving aptitude.

• Looking for an experienced Integration specialist with a good expertise in ETL Informatica and a strong Application integration background
• Minimum of 3+ years relevant experience in Informatica MDM required. Powercenter is a core skill set.
• Having experience in a broader Informatica toolset is strongly preferred
• Should prove a very strong implementation experience in Application integration, should demonstrate expertise/presentation with multiple use cases
• Passionate coders with a strong Application development background
• Should have application development experience outside of ETL, (just learning ETL as a tool is not enough), experience in writing application outside of ETL will bring in more value
• Strong database skills with a strong understanding of data, data quality, data governance, understanding and developing standalone and integrated database layers (sql, packages, functions, performance tuning ), i.e. Expert with a strong integration background who has more application integration background than just an ETL Informatica tool
• Experience in integration with XML/JSON based and heavily involve JMS MQ (read/write)
• Experience in SOAP and REST based API's exchanging both XML and JSON files used for request and response
• Experience with Salesforce.com Integration using Informatica power exchange module is a plus but not needed
• Experience with Informatica MDM as a technology stack that is used for integration of senior market members with Salesforce.com is a plus but not needed,
• Very strong scripting background (C/bourne shell/Perl/Java)
• Should be able to understand JAVA, we do have development around JAVA, i.e ability to work around a solution in programming language like Java when implementation is not possible through ETL
• Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.