US Business Development Executive

Must have good drafting and communication skills.

Aware of social media platforms. Content writing skills, can think out of the box.

Duration- 3 months

Location- Bhubaneswar.

Qualification- Any Graduate

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.

Excellent telephonic communication skill

To drive to seek new business

Highly organised team

Basic english known

• Manage the end-to-end tender submission process, ensuring all necessary documentation is prepared and submitted accurately and on time.
• 
  
• Review tender requirements and documentation to understand the scope of work, technical specifications, and evaluation criteria.
• 
  
• Coordinate and collaborate with cross-functional teams, including sales, finance, legal, and operations, to gather the required information for bid preparation.
• 
  
• Conduct pre-qualification assessments to determine the company's eligibility for participating in specific tenders.
• 
  
• Prepare technical specifications and develop comprehensive proposals that address the client's requirements.
• 
  
• Handle customer relationship management (CRM) activities, maintaining accurate records of interactions and correspondence related to the tender process.
• 
  
• Participate in post-tender processes, such as negotiations and contract finalization, if the tender is awarded to our company.
• 
  
• Stay updated on industry trends, market developments, and regulatory changes related to tendering and procurement.
• 
  
• Prepare and submit tender proposals within design

We are looking for a Blockchain Developer with a focus on scaling best

practices, reducing engineer toil, and ensuring reliability and stability of the NST Blockchain Platform. This engineer will also work with all engineers to understand pain points and find a balance in the “now” vs the “future”, while also proposing foundational Blockchain. This individual will need to take into consideration performance, reliability, stability, and developer happiness to ensure that we are providing a world-class community-building experience for our internal team, external contributors, creators, and users.

Priorities can change in a fast-paced environment like ours, so this role

includes, but is not limited to the following:

1. At least 3+ years of work experience in blockchain related projects

(preferably enterprise blockchain)

2. Good knowledge in Hyperledger Fabric related projects.

3. Knowledge of Data Structures is preferred.

4. Good with either one of the programming languages: JavaScript or Golang

(preferably Golang)

5. Experience working with some DevOps tools like docker, docker-compose,

ansible. (Knowledge of Kubernetes is even better)

6. Experience working with both SQL & NoSQL Databases, DB Migration,

Disaster Recovery.

7. Should be able to manage a small team, in terms of work management,

coding sessions, code review.

8. Good communications skills.

9. Additional certification in either Hyperledger or Kubernetes is preferred.

Someone with hands-on experience with Story Boarding, typography, Color, Vector illustration, Social Media Ads, carousels ,Image selection.

Other Design Skills, Layout Skills, Illustrations, Infographics, Creativity, Flexibility, Attention to Detail, Deadline-Oriented, Desktop Publishing Tools.

Strong liaison skills to deliver assignments in time.

Up to date with industry leading software and technologies (Illustrator, In Design, Corel Draw, Photoshop etc.)

Professionalism regarding time, costs and deadlines.

Proven graphic design skills, Backed by a strong portfolio.

Lead QA Engineer - Automation:

We are looking for a candidate who will be an agent of change and who will drive and execute based on our Quality and Reliability Transformation Roadmap. He/She will be responsible for testing Education Service domains across platforms, automation of functional/regression and RFB (sanity) service test suites, Continuous Integration/Continuous Delivery pipeline and Shift Left methodologies. We will also expect the candidate to take ownership of a functional domain and play a hands-on role in the execution of testing for projects in this area.

The candidate should have extensive experience in testing, testing automation, testing leadership and software development. The candidate should be proficient in-service automation testing tools like Eclipse, IDNE, Jenkins, GIT hub and Chatbot testing like Botium. The candidate should have at least 7+ years of service testing or software development experience.

The candidate should be flexible, highly adaptable and an excellent team player. The candidate is expected to work with Agile teams that consist of test analysts, developers, automation engineers and other stake holders. The candidate should expect to work in a global virtual team, sometimes across multiple time zones. The candidate may be assigned to more than one role or project at a time.  

Lead QA Engineer - Automation Responsibilities:

• Create automation plan and delivery roadmaps
• Develop test automation solutions for applications across different platforms
• Adhere to existing standards; provide suggestion to improve and set new standards
• Participate in technical discussions with engineering teams to understand application architecture and API model
• Collaborate with QA Engineers and Software Developers to identify test automation scope and priorities
• Configure, maintain, and operate service test automation tools and frameworks
• Capture requirements and test cases, understand application features, analyse requirements and develop test automation solution with a view of the end-to-end application flow
• Design and create robust automated test scripts to address business and technical use cases
• Integrate test automation scripts with Continuous Integration and Delivery pipeline
• Communicate progress to the senior leadership on a regular basis
• Should have Education Service domain and application knowledge

Lead QA Engineer - Automation Requirements: 

A Bachelor's degree in Computer Science or related field

• 7-11 years’ experience working as a Service Test Automation Engineer
• Experience in collaborating effectively across a variety of IT and business groups, across regions, roles, and able to interact effectively with all levels
• Proven record of execution of QA strategy and unification of QA processes across organization
• Must have hands-on experience with Selenium automation using Java
• Must have experience in Chatbot testing like Botium.
• Working knowledge of any Relational Database and DB Queries.
• Working knowledge of tool and technologies like Jenkins, GIT, JIRA and ALM
• Well versed with approaches like BDD, Keyword Driven, Data Driven and hybrid Driven test automation.
• Good to have understanding of model-based testing.
• Understanding of Agile/Waterfall development process and is comfortable diving into the technical architecture of complex and highly scalable solutions
• Excellent leadership, communication (written and oral) and interpersonal skills. Experience in presenting to diverse audiences and conducting education and training.
• Have deep experience in defining and developing the service test automation framework.
• Development background is a major plus.
• knowledge of Rest, SOAP, MQ and microservices. (Nice to Have)

• Creating concise, eye-catching, and innovative headlines and body copy.
• Consistently brainstorming and collaborating with team for new ideas and strategies.
• Writing a wide variety of topics for multiple platforms (website, social updates, emails, banners, videos, etc)
• Researching markets and industries to compare and create content that is innovative and original.
• Performance monitoring and review meetings.

EXPERIENCE and SKILL SET

• Excellent knowledge of trending strategies on digital networking channels (Facebook, Instagram, LinkedIn, YouTube, twitter etc.)
• 2 years of experience in creative writing or copywriting/ promotional writing.
• Proficient computer skills, including Microsoft Office Suite (Word, PowerPoint, Outlook).
• Candidate with IT background will be preferred.

• Education - BS or BA. English, Computer Science or Engineering
• Experience - 8+ years of experience in Technical Writing; developing software and hardware documentation for global customers.
• Tools
• Authoring/Editing/Publishing - MadCap Flare/MadCap Central (preferred) or experience in any one of the topic-based/DITA-based authoring tools such as Oxygen XML, XMetal, Framemaker (structured).
• Source/version control - Git/Gerrit, GitHub, or Bitbucket.
• Feature/Defect Management - Jira, Rally, or any industry-standard, agile project/defect management software.
• Collaboration and Process Management - Confluence, Wiki
• Domain - Familiarity with compute, cloud, storage, network, security, or virtualization technologies.
• Communication and writing - Excellent written and verbal communication skills in English.