Field Sales Executive

• Strong Lead or Above UI/UX or Product Designer (UI/UX both, UI 60-70%)
• Mandatory (Experience 1) - Must have a minimum 8+ years of hands-on experience in product design, with recent 3+ years in Product companies
• Mandatory (Experience 2) - Must have a minimum 4+ years of product design experience in B2B SaaS companies (UI/UX both, UI 60-70%)
• Mandatory (Experience 3) - Must have 2+ years of people management experience (Read in CV)
• Mandatory (Skills 2) - Must be proficient in product design design methods (product mindset, problem-solving, UX thinking, ideation)
• Mandatory (Skills 3) - Expertise in tools like Figma, Sketch, Adobe XD, and others to create high-fidelity wireframes and prototypes
• Mandatory (Portfolio) - Strong portfolio of UX Design and UI/Visual Designs for B2B SaaS/Enterprise products
• Mandatory (Company) - B2B Saas (Enterprise is a plus)

Responsibilities:

● Curate compelling content and promotional materials to drive course promotion and brand awareness.

● Manage push notifications, email campaigns, and other marketing initiatives to engage and retain customers.

● Develop and implement effective retention strategies to reduce churn and increase customer loyalty.

● Develop out-of-the-box ideas to generate revenue and enhance brand awareness.

● Analyze campaign performance data and make data-driven decisions to optimize marketing efforts.

● Collaborate with designers to create visually appealing creatives for marketing materials.

● Work closely with cross-functional teams, such as product, support, and tech, to optimize the customer experience and increase retention.

● Generate revenue through strategic marketing initiatives and activities.

● Manage affiliate programs to drive sales and revenue.

● Stay informed about industry trends, competitor actions, and market developments

What we are looking

• You must have experience in Python, including development of microservices using flask/fastapi/sanic.
• You hold knowledge of at least one Python web frameworks
• You have experience in NoSQL databases such as MongoDB
• You are familiar with relational databases and unstructured data.
• You are familiar with some ORM (Object Relational Mapper) libraries.
• You have prior exposure to code versioning tools such as Git.
• You understand fundamental design principles behind a scalable application

Good to have

• Experience in cloud services such as AWS
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of the threading concepts in Python and multi-process architecture

What you'll do

• Create database schemas that represent and support business processes
• Integrate multiple data sources and databases into one system.
• Develop and integrate RESTful APIs and services for business use cases
• Perform unit and integration tests on developed modules

Experience Level : 5 – 6 Yrs.

Test Automation skills and experience

Ability to Automate test scripts through the following frameworks and skills

Robot Framework

Python

Selenium (optional)

Experience in working through JIRA tool for Testing and Automation

Experience in working through any IDE (Integrated Development Environment) for developing/executing/debugging for Automation scripts

Good experience over Protocols such as TCP/IP, SSH, UDP

Wireless network domain experience (preferred)

Worked in Wireless Network Security (preferred)

Experiences in networking logs (PCAPs) analysis through Wireshark tool is highly preferred

Basic to intermediate knowledge of Linux/unix Shell scripts skills preferred

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.

Responsibilities:

1. Develop and maintain web applications using React.js and Laravel.
2. Collaborate with cross-functional teams to define, design, and ship new features.
3. Write clean, maintainable, and efficient code.
4. Build reusable components and front-end libraries for future use.
5. Optimize applications for maximum speed and scalability.
6. Implement security and data protection features.
7. Collaborate with other team members and stakeholders to deliver high-quality software solutions.

Requirements:

1. Proven experience as a React.js and Laravel Developer.
2. In-depth knowledge of JavaScript, React.js, and Laravel.
3. Familiarity with RESTful APIs and modern front-end build pipelines and tools.
4. Experience with state management libraries such as Redux.
5. Solid understanding of the full web development process, from design to deployment.
6. Knowledge of version control (e.g., Git).
7. Strong problem-solving and communication skills.
8. Ability to work independently and as part of a team.
9. Bachelor's degree in Computer Science or a related field (preferred).

Nice to Have:

1. Experience with other front-end libraries/frameworks (Vue.js, Angular, etc.).
2. Knowledge of serverless architecture.
3. Experience with database systems (MySQL, PostgreSQL, MongoDB, etc.).
4. Familiarity with Docker and containerization.

• Designing visual content for digital applications
• Designing and layout of materials for internal communications and engagement
• Editing YouTube videos
• Designing and layout of essential business materials
• Creating infographics and presentation materials to simplify the communication of complex concepts and data
• Editing video clips for use on social media platforms
• Working autonomously and developing high-quality concepts with minimal instruction
• Managing timelines and prioritizing of workload and knowing when to ask for direction
• Assisting team in developing and executing communications plans
• Providing technical support for design- and video-related efforts
• Optimizing graphics and video content for social media platforms
• Maintaining organized content files and helping to organize and archive existing video and graphics files
• Other duties as assigned

What you need to have:

• Strong visual communications skills, including the ability to communicate complex concepts and data through images
• Familiarity with best practices for graphics and video content on social media platforms (YouTube, Facebook, Twitter, Instagram)
• Freshers can also apply. Portfolio displaying samples would be a must

Primary/Essential Duties and Key Responsibilities:

• Proactively manage a portfolio of  customers once the implementation phase is completed
• Develop and build strong relationships with key customer stakeholders 
• Understand customers’ needs and priorities to optimize the use of the platform
• Identify new opportunities: up-sell, cross-sell, additional training
• Effectively communicate application features and product information for new releases and facilitate their adoption
• Be the voice of the customer and provide internal feedback on how we can better serve our customers
• Collaborate closely with various cross-functional teams (Product Management, R&D, Marketing and Sales) to drive better results
• Resolve billing and Support inquiries in a timely and productive manner
• Coordinate small customer projects

Required Qualifications: 

• Well-organized and excellent time management abilities
• Proven ability to collaborate and build strong relationships with customers especially at the Executive level
• Exceptional oral and written communication skills and attention to detail
• Minimum 4-5 years experience 

Travel Requirements: