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- Drive employee Engagement initiatives through effective employee connect, conduct periodic communication forums, open house forums and town hall meetings
- Should have Experience in EWS, RAG analysis, Skip level meetings, 360/90 degree programme, Managing attrition etc.
- Planning and executing festival celebration in the company for the employee engagement
- Planning and executing varied activities for employee motivation programmes
- Measure employee satisfaction and identify areas that require improvement
- Ensuring constant engagement initiatives are implemented
- To handle operational activities like filing and service logs
- Driving Performance Management Process like ADH assessment, TRP etc.
- Partnering with the shared services, operations and other stakeholders to handle day to day activities. E.g. Leaves, Transfer-Relocation, Benefits, etc.
Roles and Responsibilities-
- Employee Engagement - Ensure smooth end-to-end implementation of the assigned processes. This should cover the following activities:
- Ensure release of engagement Calendar
- Review and Track Status of open Actionable
- Prepare Dashboards for various employee connect initiatives
- Alert stakeholders on delays / issues
- Employee Grievance handling & providing first hand resolution to the employees
- Manage queries, issues, escalations, if any
- Any other process/ task allocated as required
- Participate in Knowledge Sessions within or outside the Team
- Participation in events organized by company
- MIS based reports like HR SLA, Attrition, Adhoc reports etc.
- Processing resignations, Conducting Exit Interviews to ensure smooth closure of full & final settlement.
Job Title: SDET Engineer
Experience Level: 5+ Years
Roles & Responsibility:
The QA Engineer will be responsible test plan development, execution, and results tracking as a member of a diverse, globally distributed team. The candidate will conduct in-depth application and workflow testing, as well as provide QA leadership and feedback to a diverse globally distributed team of Project Managers, Business Analysts, Software Developers, and other QA personnel.
· Collaborating with cross-functional agile team members to understand project requirements/user stories and translate them into comprehensive test plans and test cases.
· Designing, developing, and maintaining manual and automated test scripts, with focus on creating effective and reusable test scripts.
· Working closely with developers and product owners to identify, document, prioritize, and track software defects, and ensure timely resolution.
Requirement-
- Bachelor's degree in computer science, Engineering, or a related field.
- Proven 5+ Years experience in automation testing for web and backend applications.
- Must have experience with API testing tools - Rest Assured.
- Knowledge of automation testing frameworks.
- Experience with JAVA-Selenium
- Understanding of basic SQL queries to validate data in the databases
- Understanding of CI/CD processes and tools (e.g., Jenkins, GitLab CI).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Prior experience with trading applications or core financial services related applications is a big plus.
Role Summary
We have an existing Android-based POS application that needs to be migrated and rebuilt as a Windows desktop application using WPF. You will re-architect the Android app's features, UI flows, and business logic into a full-featured WPF application with SQLite local storage, EF Core, and existing REST API integration.
Responsibilities
- Analyze the existing Android POS app and re-architect it as a WPF desktop application.
- Rebuild all screens and workflows (billing, cart, product catalog, orders, reports) in WPF / XAML following MVVM pattern.
- Implement local data storage using SQLite + Entity Framework Core (Code First, migrations).
- Integrate with the existing backend REST APIs (same APIs used by Android app) for product sync, orders, payments, and authentication.
- Ensure feature parity between Android and Windows versions.
- Integrate Windows-specific hardware — barcode scanners, receipt printers, cash drawers.
- Apply Dependency Injection, async/await, and SOLID principles throughout.
Required Skills
- WPF, XAML, MVVM, C# (.NET 6/8),
- Entity Framework Core + SQLite
- REST API consumption (HttpClient, JWT auth, JSON handling)
- Ability to read and understand Android (Java/Kotlin) code and translate logic to C#
- Git, Visual Studio
Good to Have
- Prior Android-to-Windows or mobile-to-desktop migration experience
- Payment gateway integration (Razorpay / Stripe / Paytm)
- PDF / receipt generation (RDLC / FastReport)
- POS, billing, or retail domain experience
AI-Assisted Development (Mandatory Mindset)
We expect the candidate to actively leverage AI tools to accelerate the migration and development process:
- Use GitHub Copilot / Cursor / Claude to convert Android (Java/Kotlin) logic to C# WPF code efficiently.
- Use AI tools for boilerplate generation — ViewModels, EF Core models, API service classes, XAML layouts.
- Leverage AI for code review, refactoring suggestions, and identifying platform-specific differences (Android vs Windows).
- Use AI-assisted documentation and inline commenting to maintain code clarity during migration.
- Comfortable evaluating, validating, and refining AI-generated code — not just accepting output blindly.
Qualification
- B.E. / B.Tech / MCA in Computer Science
- 2–4 years WPF desktop development experience
Regards,
HR Team,
OnePOS Retail Solutions Private Limited

Fast-growing Agentic E-comm startup.
Are you interested in writing agentic systems that helps companies like Coca-Cola, ITC and Lenovo drive E-commerce success? Do you want to bring Autonomy to E-commerce? Then read on and apply.
Applied Scientist - Decision AI
Location: Bengaluru
Work Schedule: Hybrid (Candidate must be based in Bengaluru - 1-2 days of WFO may be required at a later date)
About Kily
Kily is an AI company bringing autonomy to digital commerce growth. We build autonomous agents that manage Advertising, Pricing and Listings for brands and sellers across commerce marketplaces.
Performance in modern commerce shifts constantly - across marketplaces, categories and cities - faster than teams can manually track, diagnose and act on. Kily's agents work continuously against real business objectives with each brands unique context, objectives and operating constraints and keeping humans in the loop where it matters.
The Role
We are looking for an Applied Scientist to build the models and decision systems behind Kily's recommendations and actions. The work is grounded in messy, real-world commerce data help build Kily's core decision intelligence layer: systems capable of understanding complex commerce data, determining why performance is changing, deciding what should be done about it, and ultimately taking actions autonomously at scale. You will work at the intersection of learning algorithms, decision making under uncertainty and agentic systems.
What You'll Do
· Conduct deep analysis of commerce data to derive insights, and identify gaps and new opportunities
· Develop scalable and effective machine-learning models and optimisation strategies to solve business problems across advertising, pricing and listings
· Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment
· Identify and build the sequential feedback loops that make decisions improve over time
· Design evaluation frameworks to measure the quality and business impact at scale
· Work closely with engineering, analytics and product teams to take models from experimentation into production
What We're Looking For
· 4+ years in Applied ML/AI, Data Science. Masters or PhD in a quantitative field is a plus
· Deep proficiency in Python, SQL, statistics and data analysis
· Hands-on experience developing, deploying and maintaining the end-to-end lifecycle of machine-learning models
· Experience with LLMs, fine-tuning, AI agents, optimisation or sequential decision systems is a strong plus
· Exposure to ecommerce, marketplaces, advertising or pricing data is valuable but not essential
· Strong problem-solving and communication skills; ML research experience is a plus
WHY KILY
Kily is already working with leading brands including ITC, Unilever, Mondelez, Coca-Cola and Lenovo, and has recently raised an INR 30 crore ($3.1 mn) Seed round led by Sorin Investments, with participation from Razorpay and Wyser Capital. You'll have the opportunity to build a foundational AI system from an early stage - one designed not merely to generate insights, but to autonomously drive real-world business
outcomes.

This is for one of our Reputed Entertainment organisation
Key Responsibilities
· Advanced ML & Deep Learning: Design, develop, and deploy end-to-end Machine Learning models for Content Recommendation Engines, Churn Prediction, and Customer Lifetime Value (CLV).
· Generative AI Implementation: Prototype and integrate GenAI solutions (using LLMs like Gemini/GPT) for automated Metadata Tagging, Script Summarization, or AI-driven Chatbots for viewer engagement.
· Develop and maintain high-scale video processing pipelines using Python, OpenCV, and FFmpeg to automate scene detection, ad-break identification, and visual feature extraction for content enrichment
· Cloud Orchestration: Utilize GCP (Vertex AI, BigQuery, Dataflow) to build scalable data pipelines and manage the full ML lifecycle (MLOps).
· Business Intelligence & Storytelling: Create high-impact, automated dashboards in to track KPIs for data-driven decision making
· Cross-functional Collaboration: Work closely with Product, Design, Engineering, Content, and Marketing teams to translate "viewership data" into "strategic growth."
Preferred Qualifications
· Experience in Media/OTT: Prior experience working with large scale data from broadcast channels, videos, streaming platforms or digital ad-tech.
· Education: Master’s/Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or Data Science).
· Product Mindset: Ability to not just build a model, but to understand the business implications of the solution.
· Communication: Exceptional ability to explain "Neural Network outputs" to a "Creative Content Producer" in simple terms.
- Expertise in Typescript, Nodejs and Golang.
- Prior working experience in Hyperledger 2.x.
- Strong understanding of blockchain, smart contracts, consensus mechanisms and cryptography.
- Proficiency in developing Chain codes/Smart Contracts.
- Experience building front end applications using Angular.
- Proficient in MongoDB.
- Experience with Relation databases like MySQL, MSSQL.
- Write application code, smart contracts, and unit test cases according to the quality guidelines.
- Work across multiple teams, mentor junior developers and actively participate in code reviews.
- Co-ordinate with architects to produce technical designs.
- Skilled in Docker, Kubernetes, Nginx, Git.
- Knowledge of design patterns and best practices.
- Document the development process, architecture, and standard components.
- Awareness of CI/CD pipelines.
Looking For Java Backend Developer
Greetings from Skilltasy !!!!
Urgent Requirement…
Job Role – Java Backend Developer
Experience – 6+ year
Work location –Bangalore/ Hyderabad
Notice Period – Immediate to 30 days
Skills -
· Develop enterprise-level applications and features using above mentioned technologies and tools.
· Collaborate with other developers, designers, and stakeholders to deliver highly functional features.
· Deliver on development requests while also setting accurate expectations, adhering to best practices, and creating modular and testable code.
· Adhere to an Agile methodology.
· Consider the user journey to create an intuitive user experience…
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In today’s high-demand equals high-price world, our client focuses on being a universal factory that produces high-quality industrial goods at costs that are globally competitive. The services offered by them include sand casting, investment casting, sheet metal stamping, injection molding etc. and the industries served by them include railways, apparel, consumer electronics etc.
So far in their journey, their network includes, approx., 10K+ suppliers, 600+ customers, 2K+ projects, serving 15+ countries and 25+ industries.
Headquartered in Bangalore, they also have offices in the USA and Singapore. They have raised a total of approx. $649M in funding over 11 rounds.
As a Program Manager, you will be responsible for owning the company's vision, strategy and execution of multiple new enterprise resource planning systems and 3rd party software with the company's OS.
What you will do:
- Working with internal customers, external partners and translating business requirements into scalable solutions
- Defining the implementation roadmap and timeline to meet business objectives
- Working across engineers, business stakeholders, external stakeholders, customer ops and partnering closely with business units
- Helping us execute on long term bets to help us hyper scale our business
Desired Candidate Profile
What you need to have:- Strong Program Management skills
- Experience working with business teams, consultants and implementation partners
- Experience implementing an ERP or CRM Tool at an organization- preferably Dynamics or SAP
- Proven track record of leading complex projects with multiple cross-team customers to delivery and completion
- Ability to determining business needs via consultation, business analysis, and targeted observations
- Strong oral and written communication skills
- Comfortable working alt Saturdays
Intro
Our data and risk team is the core pillar of our business that harnesses alternative data sources to guide the decisions we make at Rely. The team designs, architects, as well as develop and maintain a scalable data platform the powers our machine learning models. Be part of a team that will help millions of consumers across Asia, to be effortlessly in control of their spending and make better decisions.
What will you do
The data engineer is focused on making data correct and accessible, and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code.
• Optimize and automate ingestion processes for a variety of data sources such as: click stream, transactional and many other sources.
- Create and maintain optimal data pipeline architecture and ETL processes
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Develop data pipeline and infrastructure to support real-time decisions
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
What will you need
• 2+ hands-on experience building and implementation of large scale production pipeline and Data Warehouse
• Experience dealing with large scale
- Proficiency in writing and debugging complex SQLs
- Experience working with AWS big data tools
• Ability to lead the project and implement best data practises and technology
Data Pipelining
- Strong command in building & optimizing data pipelines, architectures and data sets
- Strong command on relational SQL & noSQL databases including Postgres
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Big Data: Strong experience in big data tools & applications
- Tools: Hadoop, Spark, HDFS etc
- AWS cloud services: EC2, EMR, RDS, Redshift
- Stream-processing systems: Storm, Spark-Streaming, Flink etc.
- Message queuing: RabbitMQ, Spark etc
Software Development & Debugging
- Strong experience in object-oriented programming/object function scripting languages: Python, Java, C++, Scala, etc
- Strong hold on data structures & algorithms
What would be a bonus
- Prior experience working in a fast-growth Startup
- Prior experience in the payments, fraud, lending, advertising companies dealing with large scale data
Senior Manager – LeadSquared Apps Marketplace
LeadSquared is one of the top cloud-based sales execution SaaS platforms. The platform is used by over 40,000 users across 25 countries to grow their businesses. The business is growing well across multiple geographies in financial services, healthcare, education and other consumer services.
Apps Marketplace
To serve multiple industries and geographies, it is critical to have a strong integration and product extension strategy to meet specific customer needs. That is where our apps marketplace comes in, which currently has about 30 apps solving various micro-integration or functionality extension needs. With the kind of growth we are seeing, we need to build many more apps, and more importantly bring in partners who can seamlessly build and integrate their apps in our marketplace.
The Role
We are looking for an energetic and passionate individual to lead our Apps Marketplace effort:
- Build a team and drive the effort of building and maintaining strategic apps (ones which need to be inhouse) such as cloud telephony integration, SMS, email integration and Google/Facebook ads.
- Work with our platform group to ensure the apps marketplace framework is partner ready, and it is easy to add new apps
- Educate and collaborate with potential dev partners so they can contribute to LeadSquared apps marketplace
Key Requirements
The ideal candidate would have experience of designing, building, testing and releasing several cloud-based business applications, end-to-end. Experience of leading small teams, strong sense of ownership, working collaboratively with different teams and expertise in setting up strong engineering process are critical. Other requirements include:
- 6+ full-stack experience in building cloud-based web applications using any of .NET/Java/Python/PHP/Node.js. Some experience in C# and ASP.NET important
- Solid understanding of architecture, design, development, test and release of web applications, REST APIs and application integrations
- Experience in working on AWS with good understanding of various managed services
- Proven experience of project planning, estimation and execution
- Strong knowledge of build and release process





