Graphic Designer

Review Criteria

• Strong UAT / Functional Test Lead Profiles
• Minimum 7 years of overall testing experience, with at least 3 years of recent UAT experience, primarily in manual testing for large enterprise or government project
• Must have worked on minimum 2 national-level e-Governance, public sector, enterprise, or marketplace projects in a UAT lead or ownership role
• 3+ years of team handling experience, leading 7–8 QA/UAT members, including task assignment, review, mentoring, and delivery ownership
• Must have complete ownership of UAT activities, including UAT planning, execution, acceptance sign-off, defect management, retesting, and regression cycles.
• Must have strong hands-on manual testing experience, with the ability to create test scenarios and test cases from BRDs, user stories, functional documents, and Figma/UI screens.
• Must be able to understand HLD/LLD documents and API specifications and perform manual API testing based on business logic.
• Must have BE/BTech/MTech/MBA (BSc/BCA alone is not acceptable; with Bsc/BCA candidates must have a relevant postgraduate degree MCA/MTech)
• Do not consider candidates with automation-heavy profiles or those lacking strong manual UAT and leadership experience
• Candidate must be based within Delhi NCR (100 km radius)

Preferred

• (Certification): ISTQB Advanced Test Manager or equivalent is preferred

Job Specific Criteria

• CV Attachment is mandatory
• Have you worked on at least 2 national-level e-Governance / enterprise / marketplace projects, If yes, Name the projects and company where you did these projects?
• What was the maximum team size of QA you have managed?
• How many years of Manual Testing experience?
• How many years of Automation Testing experience?
• Name two relevant UAT projects you have worked on?
• Are you willing to relocate to Delhi and why (if not from Delhi)?
• Are you available for a face-to-face round?

Role & Responsibilities

• 8 + years’ experience in UAT, with at least 2 National-level e-Governance solutions / Enterprise platforms / Marketplace projects.
• Proficiency in test planning, execution oversight, acceptance criteria definition, defect triage, regression cycle management.
• Proficient in understanding business requirements by going through BRDs, User Stories, Figma screens to define test scenarios and test cases.
• Ability to analyze high level and low-level design documents, API specifications to identify the business logic developed and create test cases to test the APIs.
• Hands-on experience of defining high quality test scenarios, test cases with ability to review and guide the test team members in doing the same.
• Education/Certifications: B.E./ B.Tech. / MTech/ MCA/ MS (Computer Science/IT)/ISTQB Advanced Test Manager or equivalent required.

Ideal Candidate

• 8 + years’ experience in UAT, with at least 2 National-level e-Governance solutions / Enterprise platforms / Marketplace projects.
• Proficiency in test planning, execution oversight, acceptance criteria definition, defect triage, regression cycle management.
• Proficient in understanding business requirements by going through BRDs, User Stories, Figma screens to define test scenarios and test cases.
• Ability to analyze high level and low-level design documents, API specifications to identify the business logic developed and create test cases to test the APIs.
• Hands-on experience of defining high quality test scenarios, test cases with ability to review and guide the test team members in doing the same.
• Education/Certifications: B.E./ B.Tech. / MTech/ MCA/ MS (Computer Science/IT)/ISTQB Advanced Test Manager or equivalent required.

Job Summary

We are seeking a highly skilled Full Stack Engineer with 2+ years of hands-on experience to join our high-impact engineering team. You will work across the full stack—building scalable, high-performance frontends using Typescript & Next.js and developing robust backend services using Python (FastAPI/Django).

This role is crucial in shaping product experiences and driving innovation at scale.

Mandatory Candidate Background

• Experience working in product-based companies only
• Strong academic background
• Stable work history
• Excellent coding skills and hands-on development experience
• Strong foundation in Data Structures & Algorithms (DSA)
• Strong problem-solving mindset
• Understanding of clean architecture and code quality best practices

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications
• Build responsive, performant, user-friendly UIs using Typescript & Next.js
• Develop APIs and backend services using Python (FastAPI/Django)
• Collaborate with product, design, and business teams to translate requirements into technical solutions
• Ensure code quality, security, and performance across the stack
• Own features end-to-end: architecture, development, deployment, and monitoring
• Contribute to system design, best practices, and the overall technical roadmap

Requirements

Must-Have:

• 2+ years of professional full-stack engineering experience
• Strong expertise in Typescript / Next.js OR Python (FastAPI, Django) — must be familiar with both areas
• Experience building RESTful APIs and microservices
• Hands-on experience with Git, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure)
• Strong debugging, optimization, and problem-solving abilities
• Comfortable working in fast-paced startup environments

Good-to-Have:

• Experience with containerization (Docker/Kubernetes)
• Exposure to message queues or event-driven architectures
• Familiarity with modern DevOps and observability tooling

Position Summary

We are looking for enthusiastic and self-motivated Sales Executives (female candidates preferred for diversity hiring).This entry-level role is ideal for freshers passionate about sales and customer interaction. You will play a key role in promoting logistics services via outbound calling, generating leads, and building long-term customer relationships.

Note: While this role welcomes female candidates, the hiring process remains inclusive and skill-based.

Key Responsibilities

• Make outbound calls to potential or existing customers to promote logistics services.
• Handle inbound calls, respond to queries, and provide basic service information.
• Generate leads and record relevant customer information for follow-up.
• Assist senior sales executives by qualifying prospects and scheduling callbacks or appointments.
• Maintain customer data and call records accurately in the CRM system.
• Perform regular follow-ups with leads to maintain engagement and interest.
• Share customer feedback or complaints with the relevant team for resolution.
• Learn and stay updated on logistics services, pricing, and processes.

Required Skills and Qualifications

• Education: Minimum 12th pass / HSC or Graduate in any stream
• Experience: Freshers are welcome; prior internship or BPO/call center exposure is a plus
• Languages: Fluent in Hindi and English; Bengali or Marathi (optional based on location)
• Soft Skills:
• Excellent verbal communication
• Positive attitude and eagerness to learn
• Ability to handle rejections gracefully
• Basic understanding of customer service
• Technical Skills:
• Basic computer literacy (MS Excel, Email, Internet)
• Willingness to learn CRM software

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Job description Position: Data Engineer Experience: 6+ years Work Mode: Work from Office Location: Bangalore Please note: This position is focused on development rather than migration. Experience in Nifi or Tibco is mandatory.Mandatory Skills: ETL, DevOps platform, Nifi or Tibco We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in developing and maintaining our data infrastructure and ensuring the smooth operation of our data platforms. The ideal candidate should have a strong background in advanced data engineering, scripting languages, cloud and big data technologies, ETL tools, and database structures.

Responsibilities: •  Utilize advanced data engineering techniques, including ETL (Extract, Transform, Load), SQL, and other advanced data manipulation techniques. •   Develop and maintain data-oriented scripting using languages such as Python. •   Create and manage data structures to ensure efficient and accurate data storage and retrieval. •   Work with cloud and big data technologies, specifically AWS and Azure stack, to process and analyze large volumes of data. •   Utilize ETL tools such as Nifi and Tibco to extract, transform, and load data into various systems. •   Have hands-on experience with database structures, particularly MSSQL and Vertica, to optimize data storage and retrieval. •   Manage and maintain the operations of data platforms, ensuring data availability, reliability, and security. •   Collaborate with cross-functional teams to understand data requirements and design appropriate data solutions. •   Stay up-to-date with the latest industry trends and advancements in data engineering and suggest improvements to enhance our data infrastructure.

Requirements: •  A minimum of 6 years of relevant experience as a Data Engineer. •  Proficiency in ETL, SQL, and other advanced data engineering techniques. •   Strong programming skills in scripting languages such as Python. •   Experience in creating and maintaining data structures for efficient data storage and retrieval. •   Familiarity with cloud and big data technologies, specifically AWS and Azure stack. •   Hands-on experience with ETL tools, particularly Nifi and Tibco. •   In-depth knowledge of database structures, including MSSQL and Vertica. •   Proven experience in managing and operating data platforms. •   Strong problem-solving and analytical skills with the ability to handle complex data challenges. •   Excellent communication and collaboration skills to work effectively in a team environment. •   Self-motivated with a strong drive for learning and keeping up-to-date with the latest industry trends.

• Needs to have clear, concise communication skills, both written and verbally, must speak slowly and clearly

• Needs to be able to answer incoming calls from customers and create tickets, assist with requests, be able to call third party vendors to open tickets and manage from creation to completion

• Needs to be able to follow multiple different processes depending on the circumstances

• Avaya Communication Manager including G650 – Triage alarms, Troubleshooting breakfix issues and simple/complex MAC

• Avaya Media Gateways: G430, G450, G700, G350 – Triage alarms, troubleshooting breakfix issues

• System Manager/Session Manager (SIP) – Triage alarms, Troubleshooting breakfix issues including SIP and simple/complex MAC • AES – Triage alarms, Troubleshooting breakfix issues

• Avaya ACSS certification

• Avaya SBC – Triage alarms, Troubleshooting breakfix issues

• CMS - Triage alarms, Troubleshooting breakfix issues and simple/complex MAC • Avaya One X Agent/Communicator- Troubleshooting breakfix issues

• AVST - Triage alarms, Troubleshooting breakfix issues and simple/complex MAC

• IX messaging - Triage alarms, Troubleshooting breakfix issues and simple/complex MAC

• AAM - Triage alarms, Troubleshooting breakfix issues and simple/complex MAC

• Intuity Audix - Triage alarms, Troubleshooting breakfix issues and simple/complex MAC MM- Triage alarms, Troubleshooting breakfix issues and simple/complex MAC

• CMM- Triage alarms, Troubleshooting breakfix issues and simple/complex MAC

• Utility Servers- Triage alarms, troubleshooting breakfix issues and simple/complex MAC

• Avaya Aura Media Server- Triage alarms, troubleshooting breakfix issues

The ideal candidate will support the full scope of Human Resources responsibilities and partner with the organization on strategic initiatives. They will maintain and enhance the organization's human resources by planning, implementing, and evaluating human resources policies, programs, and practices.

Responsibilities

• Recruitment and Hiring.
• Training and Development.
• Employer-Employee Relations.
• Maintain Company Culture.
• Manage Employee Benefits.
• Create a Safe Work Environment.
• Handle Disciplinary Actions.
•  

Qualifications

• Bachelor's degree or relevant experience
• Strong recruiting and demonstrated ability to improve talent acquisition strategies
• Demonstrated expertise in training managers and employees
• Strong organizational, critical thinking and communications skills
• Attention to detail and good judgement

Roles & Responsibilities:

• Build and technically lead Android apps in terms of scale, performance, security, and design
• Actively participate in feature design
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Take ownership of the features right from estimating timelines to Production release
• Carry out code reviews and mentor junior engineers
• Instill best practices from following MVP/MVVM patterns to using required Java design patterns within the application
• Understand the latest Android features and practices and lead the efforts towards its adoption within the team and across all mobile pods
• Follow SOPs of Agile methodologies & Sprint deliverables and drive the same within the team

Requisites / Prerequisites:

• Android Work Experience of between 3 to 5 years.
• BE/B.Tech from Tier 1 or Tier 2 institutions
• Strong understanding of Object Oriented Programming, data structures and design patterns
• Experience in developing B2C / B2B mobile applications
• Experience in memory management and in designing high-performance applications
• Strong Java, Design Patterns and OOPS knowledge and hands-on experience
• Experience in shipping applications through the Google play store
• Experienced in Android Material Design
• Basic SQL knowledge
• Experience in working with JUnits and other Unit Testing framework is a plus
• Experience in OpenGL and animations is a plus