Customer Success Associate

Role Overview: We are seeking a motivated and detail-oriented HR Operations Intern to join our dynamic HR team. This intern will support the HR Operations department, primarily focusing on employee engagement practices, retention strategies, and assisting the Senior HR Operations Manager.

Responsibilities:

• Assist in developing and implementing employee engagement programs.

• Support Senior HR Operations Manager with HR tasks, including managing employee records.

• Contribute to employee retention strategies and programs.

• Help prepare HR reports and presentations using Ms Offices and other tools.

• Communicate HR policies, benefits, and initiatives to employees.

• Collect and analyse employee feedback to improve engagement.

• Handle administrative tasks like scheduling, event organization, and documentation.

Must Have:

• Graduate of an MBA in HR or a related field.

• Strong verbal and written communication skills.

• Proficient in Microsoft Excel (formulas, data analysis).

• Detail-oriented with good organizational skills.

• Ability to work independently and in a team.

• Proactive, enthusiastic, and eager to learn.

• Prior HR or operations internship experience is a plus.

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

About The Company: 

Quality Kiosk Technologies is a pioneer in Performance Engineering. We are Digital Quality Engineering partners for some of the largest Banking, Financial Services, Telecom, and Automobile companies. Founded in the year 2000 by IIT-Kanpur graduates, we offer Enterprise Digital Quality Assurance solutions for Banking, Financial Services, Insurance, Retail, e-Commerce, Government, Automotive, and Telecom industries.

Intelligent Business Automation, DevOps, and Customer Experience are some of the key areas where we work with our partners to deliver Digital Quality Assurance. We at Quality Kiosk counts more than 50 of the Fortune 100 companies of India and 18 of the global Fortune 500 companies as our clients. With 150+ customers from various verticals, our clients include Reliance Industries, Reliance Jio, Toyota, HDFC Bank, ICICI Bank, SBI, Kotak Bank, DBS, Citibank, Prudential, BTPN Bank, Manulife, AIA, UAE Government – Ministry of Finance, Tata Group, Government of India (GSTN, NPCI), Vodafone and others.

Quality Kiosk’s 2000+ Quality Assurance consultants are spread across 20+ countries including India, Dubai, Malaysia, Indonesia, Philippines, and Singapore. Amongst some of the recognitions we have received, Quality Kiosk has also been mentioned in Gartner’s ‘Build Continuous Quality into Your DevOps Toolchains’ Report 2018 and a feature of our QA automation platform in their Market Guide for Application Testing Services, Quality Kiosk has also been called ‘Asia’s Most Trusted Organization by International Brand Consultants, and ‘Happy Place to Work’ by World HRD Congress

Position Statement:

The incumbent will be an experienced leader with a proven capability in leading multiple teams and contributing to overall organizational goal attainment. The incumbent should possess extremely strong communication and influencing skills and be familiar with Industry’s best practices in terms of Technology, Process and Governance. Collaboration with internal stakeholders along with the right attitude and flexibility to adopt is key as also the ability to work in partnership. This role will drive portfolio performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve the delivery excellence, account size and profitability.

Key Responsibilities:

• Kickstarting new programs/projects for existing and new clients. www.qualitykiosk.com
• Managing Accounts – Coordinating with Test Manager and test Lead. Managing client escalation, People issues, requirement etc. Understanding existing clients, upcoming IT projects & IT budget etc
• Working closely with the existing team – QK Account sales team for new logos and new solutions offerings.
• Contributing to Marketing & white papers.
• Working with Finance on billing and invoicing issues.
• Resource planning, coordinating with RMG, TA etc.
• Monitoring Revenue Leakage and GM improvement.
• Project Governance & Risk - Effort, Time and Cost.
• Project scope/timeline deviation / Tracking CR with Client stakeholders.
• Skip-level meetings with TL, STE & TE.
• New project Estimation and working on proposals. Contributes to strategic and policy development and implementation of the same in the organization.
• Allocates accountability amongst the team, manages career development of others, liaises with other managers, advises the business on technology related issues & engages in short/medium / long-term plan. Applies advanced knowledge and experience to the development of new methods, programs and procedures. Offers expertise cutting across units and makes tactical decisions impacting business development and client relationship management.
• Advises Senior Management on specialized testing issues, conducts, supports, and reports research in one's own areas of expertise.
• Supports new business proposition to bid management/account management team.
• Promotes Existing Ips and creates new Ips for our clients.
• Grows the account from the current bucket size.
• Improves Customer Satisfaction for their respective accounts.

Required Experience:

• 15+ years of experience in the IT Industry preferably working in the service-based IT industry.
• 10 years of proven capabilities in strategic project management and leading mid to large service-oriented large teams driving the profitability, customer success and people success agenda. www.qualitykiosk.com
• Proven experience in leading Agile, DevOps, technology, and digitization automation-driven projects.
• Possesses strong BFSI domain knowledge (Preferred Indian clients)
• Strong delivery and technology excellence.
• Strong understanding of business value to be delivered to clients with appropriate cost/ quality.
• Should have worked closely with Pre-sales for new logos and new solutions and ensured financing, efficiency etc.
• Accountable for Revenue targets and maintaining good Gross Margin.
• Delivering ROI & BVR on Automation for the client.
• Should possess and have a good understanding of Test automation solutions and implementation.

Professional Qualification:

• B.Sc./ B. Tech / B.E. / MCA / MBA
• Possess 1-2 globally accepted certifications.
• Should have scored a minimum of 60% of marks throughout all academic levels

HIRING - VISUAL DESIGNERS

( For Beauty Market Place SublimeLife)

About the role: 

We’re looking for a smart and creative visual designer who can help Sublime build a strong brand identity across social media, website and offline platforms. Designers at Sublime demonstrate a passion for great design and for expanding, evolving, defining, and documenting flexible design systems that achieve bar-raising quality and consistency for the brand at scale. The ideal candidate excels across a variety of styles, iterates quickly, and collaborates seamlessly with marketers, brand managers, leaders, and other designers. 

Location - Bangalore 

Role Type - Full-time 

The charter for this role will include:

• Evolve, expand, and maintain the design direction of the Sublime and other verticals visual brands in partnership with Design leadership and others on the Brand Design team 
• Lead break-through brand expressions, campaign systems, and industry-leading design 
• Collaborate with designers, writers, marketers, and other cross-functional partners to serve a global audience. 

Ideal Persona:

• 2- 4 years of experience in visual design
• The technical know-how of software like Adobe Photoshop / Adobe Illustrator/ Indesign 
• Must hold a degree in Design. (Alumni from Design Institute will have a bonus) 
• Strong conceptualization and visualization skills. 
• An excellent understanding of visual design disciplines (typography, composition, iconography, colour, layouts) 
• Comfortable working in a fast-paced, highly dynamic environment.
• Drawing skills / Illustration will be a bonus

Note: Every candidate should have a design portfolio link/pdf which will be the 1st round of assessment even before the Work Ex Round.

Desired Candidate Profile

• At least 2-3 years of experience in Digital media
• At least 2-3 years of experience in Package designing
• Ability to create or follow visual & brand identity
• Web-related design knowledge is a must
• Latest knowledge of software/ tools you prefer using
• Optional: Experience working with consumer electronics businesses    

• 5+ years of software development experience including 4+ years of deep, hands on experience in building highly scalable web-based backend applications using Java and Spring ecosystem
• BE/BTech in Computer Science or a related field or equivalent practical experience
• Great problem-solving skills with solid data structures and algorithms knowledge
• Has extensively used the Spring ecosystem – Spring Boot, REST API Development, ORM tools like Hibernate
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Profound insight of Java and JEE internals (Class loading, Multi-Threading, Memory Management, Transaction management etc)
• Experience of coaching and mentoring junior developers with good delegation and time-management skills
• Implemented CI/CD in any of the projects done
• Strong understanding of Agile and Lean software development processes and practices
• Excellent knowledge and hands-on experience of Elastic Search
• Has designed relational databases; conversant with SQL
• Knowledge of Jenkins/ Docker and Devops
• Knowledge of Redis or similar technology
• Worked with some or all of these AWS services: EC2; lambda; SQS/SNS; Elastic Search, Transcoder
• Understanding and experience of building services and applications using principles of service-oriented architecture, preferable using REST or SOAP
• Contributed in the creation of end-to-end automation tests (functional or non-functional)
• Worked with WebSocket, Push notifications etc

• Experience in ELK stack
• Knowledge of Video tools like FFMPEG, Wowza / Node Media Streaming
• Understanding of different video formats, streaming, CDN etc
• Understanding of Machine Learning Models, Pipelines etc