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Role Proficiency:
Leverage expertise in a technology area (e.g. Java Microsoft technologies or Mainframe/legacy) to design system architecture.
Knowledge Examples:
- Domain/ Industry Knowledge: Basic knowledge of standard business processes within the relevant industry vertical and customer business domain
- Technology Knowledge: Demonstrates working knowledge of more than one technology area related to own area of work (e.g. Java/JEE 5+ Microsoft technologies or Mainframe/legacy) customer technology landscape multiple frameworks (Struts JSF Hibernate etc.) within one technology area and their applicability. Consider low level details such as data structures algorithms APIs and libraries and best practices for one technology stack configuration parameters for successful deployment and configuration parameters for high performance within one technology stack
- Technology Trends: Demonstrates working knowledge of technology trends related to one technology stack and awareness of technology trends related to least two technologies
- Architecture Concepts and Principles: Demonstrates working knowledge of standard architectural principles models patterns (e.g. SOA N-Tier EDA etc.) and perspective (e.g. TOGAF Zachman etc.) integration architecture including input and output components existing integration methodologies and topologies source and external system non functional requirements data architecture deployment architecture architecture governance
- Design Patterns Tools and Principles: Applies specialized knowledge of design patterns design principles practices and design tools. Knowledge of documentation of design using tolls like EA
- Software Development Process Tools & Techniques: Demonstrates thorough knowledge of end-to-end SDLC process (Agile and Traditional) SDLC methodology programming principles tools best practices (refactoring code code package etc.)
- Project Management Tools and Techniques: Demonstrates working knowledge of project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc.) tools (MS Excel MPP client specific time sheets capacity planning tools etc.)
- Project Management: Demonstrates working knowledge of project governance framework RACI matrix and basic knowledge of project metrics like utilization onsite to offshore ratio span of control fresher ratio SLAs and quality metrics
- Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e.g. TCP estimation model) company specific estimation templates
- Working knowledge of industry knowledge management tools (such as portals wiki) company and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT)
- Technical Standards Documentation & Templates: Demonstrates working knowledge of various document templates and standards (such as business blueprint design documents and test specifications)
- Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for ( non functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc.) and requirements management tools (e.g.MS Excel) and basic knowledge of functional requirements gathering. Specifically identify Architectural concerns and to document them as part of IT requirements including NFRs
- Solution Structuring: Demonstrates working knowledge of service offering and products
Additional Comments:
Looking for a Senior Java Architect with 12+ years of experience. Key responsibilities include:
• Excellent technical background and end to end architecture to design and implement scalable maintainable and high performing systems integrating front end technologies with back-end services.
• Collaborate with front-end teams to architect React -based user interfaces that are robust, responsive and aligned with overall technical architecture.
• Expertise in cloud-based applications on Azure, leveraging key Azure services.
• Lead the adoption of DevOps practices, including CI/CD pipelines, automation, monitoring and logging to ensure reliable and efficient deployment cycles.
• Provide technical leadership to development teams, guiding them in building solutions that adhere to best practices, industry standards and customer requirements.
• Conduct code reviews to maintain high quality code and collaborate with team to ensure code is optimized for performance, scalability and security.
• Collaborate with stakeholders to defined requirements and deliver technical solutions aligned with business goals.
• Excellent communication skills
• Mentor team members providing guidance on technical challenges and helping them grow their skill set.
• Good to have experience in GCP and retail domain.
Skills: Devops, Azure, Java
Must-Haves
Java (12+ years), React, Azure, DevOps, Cloud Architecture
Strong Java architecture and design experience.
Expertise in Azure cloud services.
Hands-on experience with React and front-end integration.
Proven track record in DevOps practices (CI/CD, automation).
Notice period - 0 to 15days only
Location: Hyderabad, Chennai, Kochi, Bangalore, Trivandrum
Excellent communication and leadership skills.
Review Criteria
- Strong AI/ML Test Engineer
- 5+ years of overall experience in Testing/QA
- 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
- Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
- Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
- Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
- Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
- Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
- Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
- Candidate must be based within Delhi NCR (100 km radius)
Preferred
- Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.
Job Specific Criteria
- CV Attachment is mandatory
- Have you worked with large datasets for AI/ML testing?
- Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
- Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
- Are you willing to relocate to Delhi and why (if not from Delhi)?
- Are you available for a face-to-face round?
Role & Responsibilities
- 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
- Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
- Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
- Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
- Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
- Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
- Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
- Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials
Ideal Candidate
- 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
- Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
- Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
- Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
- Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
- Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
- Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
- Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials
REVIEW CRITERIA:
- Strong Credit & Risk strategist profile
- Must have 2.5+ years of experience as credit and risk strategist/analyst in unsecured personal loan in B2C Fintech Product Companies (or NBFC)
- Must have strong understanding of automated underwriting and SMS underwriting for lending
- Must have experience with scorecards, rule engine, bureau data, device signals and behavioural insights
- B2C Fintech Product companies
ROLE & RESPONSIBILITIES:
We are looking for a Credit & Risk Lead who can craft smart, data-driven credit strategies to scale the app while keeping delinquencies low.
WHAT YOU’LL DO:
- Build and refine credit strategies for short-tenure, small-ticket unsecured personal loans.
- Work with Data Science to improve decision engines, scorecards, rules, and real-time underwriting models.
- Create sharp risk segmentation using behaviour, device signals, bureau data, fraud patterns, and portfolio trends.
- Analyse bounce rates, roll rates, early-bucket trends, and cohort behaviour to identify segments driving delinquencies.
- Share clear insights with Collections to boost pre-due and early DPD performance and improve cure rates.
- Track vintages, cohorts, and DPD curves to iterate policies, limits, and approval logic continuously.
- Strengthen fraud detection, identity checks, and thin-file underwriting frameworks to ensure clean approvals.
- Own policy governance, compliance, documentation, and alignment with RBI Digital Lending Guidelines.
- Stay ahead of market trends, competitor practices, and regulatory shifts to keep the risk engine future-ready.
IDEAL CANDIDATE:
- 2.5+ years in unsecured personal loan risk within a fintech or NBFC.
- Strong understanding of digital underwriting, policy design, and credit decisioning for short-tenure PL.
- Experience working with scorecards, rule engines, bureau data, device signals, and behavioural insights.
- Ability to work closely with Data Science, interpret large datasets, and convert insights into clear credit actions.
- Strong communication, cross-functional collaboration, and a proactive, analytical mindset.
PERKS, BENEFITS AND WORK CULTURE:
- Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder.
- Best of both worlds: startup energy + listed company stability.
- Competitive pay and fast-track growth.
Responsibilities:
- Sell telecommunications products and services to both individuals and companies.
- Sell VoIP for corporate technology and communications systems.
- Build market position by locating, developing, defining, negotiating, and closing business relationships.
- Keep abreast of current technology trends.
- Identify, contact, and build relationships with prospective customers through a combination of telephone and in-person cold calls, networking, and referrals to obtain appointments.
- Leverage the CRM system to develop a prospecting and sales strategy that ensures high activity and effective closing ratios.
- Book and install new lines/circuits/bundles/services to meet established monthly quotas.
- Design customised, cost-effective solutions for the client.
- Manage a territory using technology, prioritisation, and time management skills.
- Submit pricing and pre-qualification requests reflecting the client's requirements.
- Maintain an updated database including all activities, partners, and opportunities with their current status.
- Design and implement a strategic business plan that expands the company's customer base and ensures its strong presence.
- Own recruiting, objective setting, coaching, and performance monitoring of sales representatives.
- Present sales, revenue, and expenses reports and realistic forecasts to the management team.
- Identify emerging markets and market shifts while being fully aware of new products and competition status.
Requirements:
- Bachelor's degree in a related field with 1 to 3 years of experience (preferably from the Telecom domain) with exposure to working in the UAE, EGYPT, VIETNAM, and PHILIPPINES markets.
- Successful previous experience as a sales representative or sales manager, consistently meeting or exceeding targets.
- Committed to continuous education through workshops, seminars, and conferences.
- Demonstrated ability to communicate, present, and influence credibly and effectively at all levels of the organisation.
- Proficiency in all Microsoft Office applications.
- Ability to work as part of a team.
- Strong analytical and problem-solving skills.
- Excellent administrative and organisational skills.
- Effective communication skills.
- Proven ability to drive the sales process from plan to close.
- Strong business sense and industry expertise.
- Excellent mentoring, coaching, and people management skills.
- Driving Licenceis good to have.
Experience in Backend
Experience in Java ,Spring boot
Experience in Microservices
Experience in Data structure ,Algorithm
- Excellent communication (Written & Verbal), presentation skills with a positive attitude to engage with stakeholders
- At least 4 years of hands-oncoding experience in test automation, preferably VB script (must be presently working in automation project)
- At least 1 year of experience in Mobile automation (iOS and Android)
- Design, create and maintain Automated Test Scripts for the front end and back-end systems
- Enhance existing/create automation test frameworks
- Knowledge of pipeline execution
- Experience in Agile Scrum methodologies in sprint automation Test design and automation experience in web applications client-server applications mobile applications
- Knowledge of Jira, BDD Cucumber etc.
Responsibilities
- Design and deliver wireframes, user stories, user journeys, mock-ups, and prototypes optimized for a wide range of devices and interfaces
- Create a wide range of graphics and layouts, and design solutions for product illustrations, company logos, and websites
- Work within brand guidelines to reinforce the brand’s style and voice
- Work on building design processes, tools, and culture
- Identify and troubleshoot UX and UI design problems.
- Understand the target audience and objective of the brand and reference impactful design ideas that can be adapted
- Have a keen eye for visual designs, styles, iconography, typography, and illustrations and define a compelling visual language in the Product, website, and Marketing Materials.
- Setup best practices to help the team achieve the above and constantly think about improving the UX process to aim for better organizational UX Maturity
- Make strategic design and user-experience decisions related to core, and new, functions and features
- Take a user-centric design approach and rapidly test and iterate your designs
Qualifications
- Bachelor's degree with at least 2+ years of visual design experience in a B2B product and marketing setting
- Communicative, organized, and achieve consistent results
- Proficiency in the following design tools: Figma and Adobe Suite, familiarity with prototyping tools (Principle, Invision, Framer, After Effects)
- Solid understanding of using HTML and CSS for website design. Hands-on experience with different JavaScript frameworks (JQuery etc.), Bootstrap, Material UI, Tailwind CSS, NextJS, etc.
- Experience creating and maintaining design systems for product, website, brand, and marketing assets
- Should possess the ability to convey messages and information through illustrations, graphics, and patterns
- Added benefit: Having B2B product dashboards related experience
Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes
Job Role & Responsibility:
VMWare NSBU HCX team is looking for passionate engineers with a startup mindset and ready to solve business problems by applying technical engineering knowledge. You will be a part of enterprise class HCX cloud mobility platform to help customers solve datacenter evacuation, consolidation and hybrid cloud use cases. You’ll be part of a dynamic engineering team where a passion for innovation is a key to address technical problems, improve performance and scalability and focus on continuous improvement is of paramount importance. You will be a part of R&D development team focused on various aspects of HCX ranging from workload mobility to networking in the context of hybrid cloud paradigm. As part of the job, you will work with senior architects and other engineers of the team to deliver world class enterprise class product.
Required Skills:
- Background with Computer Science fundamentals (based on a BS or MS in CS or related field) with 4+ years of substantial professional experience
- Strong programming skills in Java/Go/Python
- Knowledge of distributed systems
- Understanding of Micro Services architecture, REST APIs Design and Development
- Understanding of Kubernetes, Kafka, No-sql, Java/Sprint, Client MVC
- Exposure to one or more UI technologies
- Organized and passionate about details; able to effectively perform multiple/concurrent tasks within deadlines in a dynamic environment
Preferred Skills:
- Strong knowledge about virtualization, and/or container technologies
- Experience in SDN/Networking/Network Management domain is added plus
- Exposure to AWS, Azure is added plus








