
We're seeking a qualified sales associate to sell annual car and bike subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly.
Requirement & Skills
Bachelor’s degree in Business, Marketing, or related field
Strong verbal and written communication
A drive to seek new business
Excellent telephone skills
Highly organized

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As a Customer Support Representative, you will be the first point of contact for customers reaching out via IVR (inbound calls), chat, and email. You will be responsible for resolving customer issues within defined SLAs, delivering a high-quality customer experience, and proactively identifying upsell or cross-sell opportunities.
This role is performance-driven, with clear KRAs and KPIs focused on resolution speed, ownership, customer satisfaction, and proactive support.
Key Responsibilities
1. Customer Issue Resolution & Productivity:
- Handle inbound calls, chats, and email tickets professionally and efficiently.
- Ensure accurate ticket creation and categorisation in the CRM for every interaction.
- Resolve customer issues within defined SLAs (majority within 4 business hours).
- Maintain high First Contact Resolution (FCR) for IVR and quick First Response Time (FRT) for chat.
- Maintain high availability and responsiveness during assigned shifts.
2. Customer Experience & Satisfaction:
- Deliver a positive, empathetic, and solution-oriented experience on every interaction.
- Maintain high CSAT scores by setting correct expectations and closing issues completely.
- Ensure customers clearly understand the resolution provided before closing tickets.
3. Ownership & Accountability:
- Take end-to-end ownership of assigned tickets until closure.
- Avoid unnecessary escalations by resolving issues at first touch wherever possible.
- Proactively follow up on pending cases and ensure closure within SLA.
- Escalate only when required, with complete context and documentation.
4. Revenue Signals, Cross-sell & Proactiveness:
- Identify and share qualified upsell, cross-sell, or referral opportunities during customer interactions.
- Highlight relevant MyOperator products or features based on customer needs.
- Share opportunities clearly with the Account Manager via CRM or defined processes.
5. Process Adherence & CRM Hygiene:
- Follow defined support processes, workflows, and communication guidelines.
- Ensure accurate and timely updates in CRM for all tickets and interactions.
- Participate in new process rollouts, tool adoption, and team initiatives.
Skills & Competencies:
Must-Have Skills:
- Strong verbal and written communication skills (English required; Hindi/regional language is a plus).
- Customer-first mindset with problem-solving ability.
- Ability to multitask across calls, chat, and tickets.
- Comfortable working with CRM tools and support dashboards.
- Willingness to work in shifts, including weekends if required.
Good-to-Have:
- Prior experience in B2B SaaS, telecom, or customer support roles.
- Experience handling chat or omnichannel support.
- Basic understanding of CRM or cloud communication platforms.
Behavioural Expectations:
- Ownership-driven: sees problems through to closure.
- Process-oriented but customer-centric.
- Comfortable working with targets, SLAs, and scorecards.
- Open to feedback, coaching, and continuous improvement.
- Team player who collaborates well with TLs and Account Managers.
Role Description
This is a full-time on-site role located in Noida for a Logistics Sales Coordinator at First Connect Worldwide LLC. The Sales Coordinator will be responsible for sales coordination, customer service, communication, sales, and sales operations on a daily basis.
Qualifications
- Sales Coordination and Core Sales skills
- Strong customer service and communication abilities
- Experience in sales processes and International sales
- Excellent interpersonal and negotiation skills
- Good experience in ad tech sales.
- Ability to work effectively in a team environment.
- Knowledge of the logistics and the transportation industry is a plus
- Bachelor's degree in Business Administration or related field
Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.
Mandatory (Total Experience): Must have 5+ years of overall experience in Testing/QA
Mandatory (Experience 1): Must have 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
Mandatory (Experience 2): Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
Mandatory (Experience 3): 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)
Mandatory (Tools & Frameworks): 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
Mandatory (Business Awareness): Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
Mandatory (Communication Skills): Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
Mandatory (Education):Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)
Preferred
Preferred (Certifications): Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.
• Development experience on SFCC projects
• Strong knowledge of JS Controllers, Pipelines, Demandware Scripts, DW Forms Framework, ISML templates, Service Framework, Job Framework
• Experience with third-party integrations for Payment, Tax, Address Verification, and OMS Integrations
• Good understanding of Business Manager and Configuring Jobs
• Experience in working with Slots, Content Assets, Site, and Catalog Setup, Promotions, and Setup of Feed files
• Understanding of Build and Deployment Process
• Good understanding of JQuery and AJAX
Role Objective
• The objective of the role is to provide independent assurance to management and audit committee on status of risks in various functions and recommendation for controls improvements, based on in – house audits as well as co – sourced audits.
Job Responsibilities
• Periodic review based on approved annual audit plan, on suitability of internal controls in place, and suggest alternatives.
• Make recommendations on the systems and procedures being reviewed, report on the findings and recommendations and monitor department’s response and implementation • Ensuring closure of audit issues identified in various audits
• Support in implementing policies, SOPs and processes
• Determine and report on compliance with policies and procedures as set by the management
• Support in planned activities such as stock – take of assets
• Support in investigations, if any, arising out of company whistleblower policy
• ERM follow ups and risk closures
• Support Audit Committee related activities Measure of Success (KRA’s)
• Completion of all in – house/ outsourced audit areas identified
• Rollout of policies & procedures as highlighted in previous audit issues/ as required by management
• Overall assessment of improvement in controls/ awareness
• Completion of other planned and adhoc activities
• Timely follow up and Closure of audit issues, feedback from auditees
• ERM process stabilization, updation and risks closures
• Support Audit Committee activities, preparation of ACM deck etc.
Job Specifications Minimum Education Chartered Accountant (minimum), additionally preferred – Certified Internal Auditor(CIA)/ Certified Information Systems Auditor (CISA)/ Certified Fraud Examiner (CFE) Job Description Template| H.R. Minimum/Relevant Experience 8 yrs experience (Sr Manager)- experience in risk based audits, process audits, SOX implementation, ERM implementation, forensics, IT audits etc.
Past Industry Experience Preferably experienced in Media Industry but not a prerequisite Currently working in Big 4 audit firms in IA vertical
Behavioral Skills
• Self - disciplined, takes initiative, confident, can work with minimal supervision
• Prepared to handle work pressure and stretch accordingly from time to time to meet deadlines Technical Skills
• Hands- on with MS Word, Excel, PPT
• Worked on SAP, and also preferably MS Navision Language Skills
• Good communication skills in English, good report drafting skills Key Interactions – Internal Stakeholders
• CXOs, function heads, process owners across the entities Key Interactions – External Stakeholders
• External audit firms to whom certain internal audit areas have been outsource
Executive - SAP MM
- SAP MM Functional Support
• Functional support for all Material Management, Quality Management & Procurement
• Taking initiative in new development in MM Area.
• Master data validation
• SAP Developments
• Preparing Technical Specification Document
• Implementation of development logic
• Technical / Functional testing of MM developments
• SAP Roles & Authorization
• Role assignment to user ,New role/object/field creation according to requirement

Hi
Greeting from MNR
Urgent opening - Assistant Manager - Payroll & MIS
Skills - MIS Reporting, Excel Expert, Strong Analytics, Dashboard, Payroll
Location - Mumbai
Job Description -
Incumbent will be responsible for leading the entire portfolio of HR Payroll, Compensation & Benefits, HR analytics and reporting, administration support, HR compliances and HR data integrity management.
Responsible for the end-to-end process of Payroll, Comp & Ben and Monthly MIS reports.
HR dashboard creation for consumption by senior stakeholders including Management Committee reviews, HR leadership teams.
This process will involve consolidation of data from different HR teams, ensuring data hygiene, accuracy, timeliness of data inputs.
It will entail analysis and reporting critical HR metrics including Headcount, Attrition, Diversity, Recruitment etc., on a regular frequency (monthly/quarterly), along with servicing requests received from time-to-time from other relevant/senior stakeholders.
Leads the process on variable pay provisioning to provide an accurate estimate of the variable pay spends in the company.
Ensure accurate and timely processing of payroll updates including new hires, terminations, and changes to minimum wages.
Prepare and maintains accurate records and reports of payroll transactions.
Ensure compliance with statutory laws and best practices.
Facilitate audits by providing records and documentation to auditors. Identifies and recommends updates to payroll processing software, systems, and procedures.
Provide support on all compensation & benefits processes including but not limited to generation of increment and other compensation letters, calculations including maintenance of permanent & contractual salaries, benefits administration and policy updates, maintenance of relevant documentation across these processes, resolving any queries around benefits, creation and maintenance of master MIS files for leadership, transfer letters generation, calculation and disbursement related process of salaries etc.
Administer Query resolution related to payroll, PF, ESIC and full and final settlements.
Coordinate with external vendor/agencies to run the compliance process for unit HR.
Responsible for multiple MIS reports and Analytics regarding manpower, payroll and employee benefits with Standardization of reports for better decision making.
Verification & Reconciliation of monthly payroll, manpower, attrition data.
Work in close collaboration with the HR Operations team to ensure data integrity and process controls are instituted and maintained. Audits the quality of data and takes corrective actions with relevant teams including HRIT/ Shared services/ HRBP spocs/ COE spocs etc. from time to time to ensure reporting accuracy and quality are maintained.
Skills required
High proficiency in MS Excel skills. (High Excel skills with analytics is a must)
Ability to deal with large amounts of data and put structure to the same.
Experience in making dashboards, reporting and analysis.
Strong analytical and problem-solving skills.
Exposure to HR payroll systems, will be an added advantage.
Attention to detail and delivery excellence.
Timeliness, responsiveness, accuracy and process compliance.
Ability to work with a large number of stakeholders.
Job Description:
We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.
Location: Pune (Initially remote due to COVID 19)
*****Looking for someone who can start immediately / Within a month. Hands-on experience in Python programming (Minimum 5 Years) is a must.
About the Organisation :
- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.
- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.
- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.
Qualifications:
• 8+ years relevant working experience
• Master / Bachelors in computer science or engineering
• Working knowledge of Python and SQL
• Experience in time series data, data manipulation, analytics, and visualization
• Experience working with large-scale data
• Proficiency of various ML algorithms for supervised and unsupervised learning
• Experience working in Agile/Lean model
• Experience with Java and Golang is a plus
• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus
• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack
• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark
• Exposure to IAAS platforms such as AWS, GCP, Azure
Typical persona: Data Science Manager/Architect
Experience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)
Type: Hands-on candidate only
Must:
a. Hands-on Python: pandas,scikit-learn
b. Working knowledge of Kafka
c. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
d. Good on analytical & debugging skills
e. Strong communication skills
Desired (in order of priorities)
a.Go (Strong advantage)
b. Airflow (Strong advantage)
c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
d. Data structures, Algorithms
e. Experience with multi-threaded and thread sync concepts
f. AWS Sagemaker
g. Keras










