
- Consistently embarking an excellent first impression on call, delivering exceptional customer experience
- Engage potential customers in dialogue that opens opportunities with the help of scripts and presence of mind
- Going an 'extra mile' to create happy customers to drive loyalty and increase repeat purchase
- Contacting prospective clients / existing customers to inform them about the product using scripts
- Accurately record details of communication with customers
- Developing and sustaining solid relationships with customers to encourage repeat business
- Answer questions about product features in an engaging manner
- Answer all customer questions honestly and accurately
- Using sales scripts drive sales and respond to customer objections
- Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.

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- Strong Accountant Profile
- Mandatory (Experience 1) – Must have 2+ years of experience in a general accounting role
- Mandatory (Experience 2) – Must have hands-on experience with Accounts Payable, Accounts Receivable, Reconciliations, and Financial Reporting
- Mandatory (Core Skills 1) – Strong understanding of accounting principles and GAAP
- Mandatory (Core Skills 2) – Expertise in Microsoft Excel (pivot tables, vlookups, data analysis)
- Mandatory (Education) – Bachelor’s degree in Accounting or Finance
- Mandatory (Company) - Product Startup Companies OR Highly Preferred - Online Gaming Companies
Preferred
- Preferred (Education/Experience) – CA dropout with prior corporate accounting experience
- Preferred (Core Skills) – Exposure to budgeting, forecasting, payroll processing, and intercompany account reconciliation
Preferred Companies
1. Dream 11 2. Mobile Premier League (MPL) 3. PokerBaazi 4. Zupee 5. Probo 6. Games 24x7 7. Winzo 8. Paytm First Games 9. Junglee Games 10. Adda52 11. My11Circle 12. RummyCulture/RummyCircle 13. Gameskraft 14. KheloFantasy 15. 99Games 16. BaaziGames
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.
Business Development executive
2+ years
Job Description: Business Development Executive
Job Overview
We are seeking a dynamic and results-driven business development executive with a strong background in IT sales to join our team. The ideal candidate will have a proven track record of converting both inbound and outbound leads into positive outcomes, driving revenue growth, and building strong client relationships. With a minimum of 2 years of experience in IT sales, the candidate will play a key role in identifying new business opportunities and closing deals to achieve company objectives.
Key Responsibilities
Lead Generation & Conversion: Actively pursue inbound and outbound leads, qualify prospects, and convert them into positive leads through effective sales strategies.
Client Relationship Management: Build and maintain strong relationships with clients, understanding their needs and offering tailored IT solutions.
Sales Targets: Achieve and exceed monthly and quarterly sales targets by closing deals and expanding the client base.
Market Research: Identify new market opportunities, analyze industry trends, and stay updated on competitors to strategize effectively.
Proposal & Negotiation: Prepare and present proposals, negotiate contracts, and ensure mutually beneficial agreements.
Collaboration: Work closely with the marketing and technical teams to align sales strategies with product offerings and campaign goals.
CRM Management: Maintain accurate records of sales activities, client interactions, and pipeline status in the CRM system.
Follow-ups: Conduct timely follow-ups with prospects and clients to ensure satisfaction and repeat business.
Required Skills & Qualifications
Experience: Minimum of 2 years of experience in IT sales, with a proven ability to convert inbound
About Us:
We’re a fast-growing branding and marketing agency that works with emerging businesses and established brands alike. Our work goes beyond ads - we shape identities, build recall, and create campaigns that are as strategic as they are creative. To scale smarter and drive measurable impact, we’re looking for a Performance Marketing Executive who knows their way around paid media like the back of their hand.
Role Overview:
As a Performance Marketing Executive, you will be responsible for planning, executing, optimising, and reporting on paid campaigns across digital platforms. You’ll work closely with creative teams, strategists, and account managers to translate campaign goals into high-performing ads — all while keeping performance data front and centre.
Key Responsibilities:
● Campaign Management: ○ Plan and execute performance marketing campaigns across Meta (Facebook/Instagram), Google Ads (Search, Display, YouTube), LinkedIn, and other relevant channels for various clients. ○ Ensure campaigns are aligned with broader brand and marketing goals for each client. ○ Manage budgets across platforms, maximising ROI and maintaining CPA/ROAS goals.
● Performance Analysis & Optimisation: ○ Track and analyse campaign performance using Google Analytics, platform dashboards, and internal tools. ○ Continuously test and optimize creatives, copies, targeting, and bid strategies. ○ Generate insightful performance reports with actionable next steps.
● Collaboration & Strategy: ○ Work closely with content, creative, and branding teams to develop compelling ad creatives and copies. ○ Collaborate with account managers and strategists to build full-funnel performance marketing plans tailored to client objectives.
● Keyword & Audience Research: ○ Conduct in-depth keyword research for SEM campaigns. ○ Define and refine target audience segments for better ad targeting and relevance.
● A/B Testing & Innovation: ○ Run structured A/B tests across platforms to improve CTR, conversion rates, and overall campaign performance. ○ Stay up-to-date with platform changes and emerging digital marketing trends.
Required Skills & Qualifications:
● 3 to 4 years of hands-on experience in performance marketing and paid media
● Proficiency in Meta Ads Manager, Google Ads, LinkedIn Ads, and Google Analytics (GA4 preferred).
● Solid understanding of conversion tracking, pixel setup, UTM parameters, and basic funnel tracking.
● Strong Excel/Google Sheets skills for budget planning and reporting. ● Working knowledge of SEO and organic content strategy.
● Certification in Google Ads / Meta Blueprint.
● A data-first mindset with creative instincts.
Who You Are:
● You think in click-through rates and live for campaign dashboards.
● You understand the delicate balance between creative storytelling and conversion-driven content.
● You're not afraid to ask questions, test wild ideas, and push for better performance.
● You have an ROI driven approach.
● You enjoy working in a fast-paced, creative environment where no two campaigns look the same.
if anyone interested then apply through link directly:- https://tiny.cc/NGtalent
The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.
Responsibilities
- Develop quality software and web applications
- Analyze and maintain existing software applications
- Design highly scalable, testable code
- Discover and fix programming bugs
Qualifications
- Bachelor's degree or equivalent experience in Computer Science or related field
- Development experience with programming languages Python, Javascript, NodeJS
- At least 2-3 years of experience in Python and React
- SQL database or relational database skills
- Strong understanding of the software development cycle
- Self-motivation and the ability to work under minimal supervision are a must
- Excellent oral and written communication skills to interact with all levels in the organization
We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!
About You
You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.
You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.
You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.
You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.
You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result
An ideal candidate is/are:
This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.
- Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
- Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
- Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
- Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
- Manage deployments and rollbacks of applications
- Implement monitoring and metrics with Cloud watch, Newrelic
- Troubleshoot and optimize containerized workload deployments for clients
- Automate operational tasks, and assist in the transition to service ownership models.

- Own the PnL for all the brand campaigns and drive overall profitability for the city
- Developing strategy for campaign management and success
- Own NPS score of the campaigns in the city
- Process building for each function within the city
- Team building, training, and development
- Build a network of vendors, partners, manpower for the city campaign
- Define the day to day responsibilities of the team, set up reporting structure, and monitor metrics on a regular basis
What you will need:
- PG/MBA degree with 7-10 years of experience handling operations and team
- Candidate with the agency, offline marketing operations, or startup background would be preferred
- Quick learner, confident, good presentation & sales skills
- Open for travel and ready to go the extra mile if the situation demands
- Keen attention to detail and good at spotting opportunities
- Client/Agency relationship exposure with strong relationship management skills
- Go-Getter attitude and responsibility to close all loops
- Long term vision and commitment








