Product Associate - Sales

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.

JOB DESCRIPTION

It is a platform for creators, influencers and celebrities to grow, manage and monetise their community. It is aimed at both established and aspiring online creators who want to pursue their passion. Our vision is to enable anyone and everyone to make a successful living doing what they enjoy.

Profile Summary

We are looking for experienced and skilled Frontend (React.Js) Developers to join our
core team. Your primary focus will be the development of new features and refinement of
existing features on user-side.

Responsibilities:

• Ensure product delivery is fast, low-cost and sustainable.
• Take responsibility from development to customer support.
• Build robust and scalable production software.
• Improve quality using code reviews, and unit/integration testing.
• Improve efficiency using automation, and methods like test driven development.

Skills & Qualification:

• 2+ years of experience in software development preferably B2C experience.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Experience in React.Js , Javascript, any experience in React native is a plus
• Experience with popular React workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript (ES6 & ES5 ).
• Familiarity with RESTful APIs.
• Experience in working with the MERN stack or similar frameworks
• Working knowledge of git for version control.
• Understanding of Unix tools.

Job Summary:

A Project Manager is responsible for planning, executing, and closing projects while ensuring they meet their objectives, are completed on time, within scope, and within budget. They lead cross-functional teams, communicate with stakeholders, and manage project risks.

Key Responsibilities:

Project Planning:

Define project scope, goals, and deliverables.

Develop a detailed project plan, including schedules, budgets, and resource allocation.

Create a project timeline and set milestones.

Team Leadership:

Assemble project teams and assign responsibilities.

Provide clear direction and motivation to team members.

Foster collaboration and effective communication among team members.

Resource Management:

Allocate and manage project resources, including personnel, equipment, and materials.

Monitor resource utilization and adjust as needed to meet project goals.

Risk Management:

Identify potential project risks and develop risk mitigation strategies.

Proactively address issues that may impact project success.

Budget Management:

Create and manage the project budget.

Monitor project expenditures and ensure they stay within budget constraints.

Quality Control:

Establish and monitor project quality standards.

Conduct regular quality assessments and take corrective actions as needed.

Communication:

Maintain open and clear communication with stakeholders, team members, and project sponsors.

Provide regular project status updates and reports.

Documentation:

Maintain accurate project documentation, including project plans, schedules, and reports.

Ensure all project documentation is organized and easily accessible.

Change Management:

Handle changes to project scope or requirements and assess their impact on the project.

Seek approvals for changes when necessary.

Project Closure:

Ensure all project deliverables are met and approved.

Conduct a project post-mortem to evaluate the project's success and identify areas for improvement.

Regards, 

HR Team 

ACE Online 

• Conceive and implement concepts, guidelines and strategies in various creative projects and oversee them to completion
• Collaborate with account executives to obtain knowledge of the clients’ requirements
• Direct and motivate teams of art directors, illustrators, copywriters etc. to help them use their talents effectively
• Lead brainstorming/creative sessions to generate ideas
• Write and design unique and well-crafted copy that meet clients’ needs as well as our own
• Revise content and presentations, approve/reject ideas, provide feedback to the team
• Train and guide subordinates into accomplished professionals
• Monitor results of team efforts and propose actions for the future

1. A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
2. Updating and maintaining HR systems, records, and reports with accurate employee data.
3. Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
4. Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
5. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
6. Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
7. Producing Information reports and complete any HR audit requirements and/or reporting as required.
8. Ensuring that the end-to-end HR process always supports a positive employee experience.
9. Following existing HR processes accurately and challenging these for ongoing efficiencies.
10. Supporting HR priority projects with any administrative activity
11. Responding to emails on behalf of the department
12. Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.

• Tally experience is must
• Account Receivable

Location - Pune

Experience - 1-3 years