Social Media Marketer

About MyOperator

MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

Job Summary

We are looking for a skilled and motivated DevOps Engineer with 3+ years of hands-on experience in AWS cloud infrastructure, CI/CD automation, and Kubernetes-based deployments. The ideal candidate will have strong expertise in Infrastructure as Code, containerization, monitoring, and automation, and will play a key role in ensuring high availability, scalability, and security of production systems.

Key Responsibilities

• Design, deploy, manage, and maintain AWS cloud infrastructure, including EC2, RDS, OpenSearch, VPC, S3, ALB, API Gateway, Lambda, SNS, and SQS.
• Build, manage, and operate Kubernetes (EKS) clusters and containerized workloads.
• Containerize applications using Docker and manage deployments with Helm charts
• Develop and maintain CI/CD pipelines using Jenkins for automated build and deployment processes
• Provision and manage infrastructure using Terraform (Infrastructure as Code)
• Implement and manage monitoring, logging, and alerting solutions using Prometheus and Grafana
• Write and maintain Python scripts for automation, monitoring, and operational tasks
• Ensure high availability, scalability, performance, and cost optimization of cloud resources
• Implement and follow security best practices across AWS and Kubernetes environments
• Troubleshoot production issues, perform root cause analysis, and support incident resolution
• Collaborate closely with development and QA teams to streamline deployment and release processes

Required Skills & Qualifications

• 3+ years of hands-on experience as a DevOps Engineer or Cloud Engineer.
• Strong experience with AWS services, including:
• EC2, RDS, OpenSearch, VPC, S3
• Application Load Balancer (ALB), API Gateway, Lambda
• SNS and SQS.
• Hands-on experience with AWS EKS (Kubernetes)
• Strong knowledge of Docker and Helm charts
• Experience with Terraform for infrastructure provisioning and management
• Solid experience building and managing CI/CD pipelines using Jenkins
• Practical experience with Prometheus and Grafana for monitoring and alerting
• Proficiency in Python scripting for automation and operational tasks
• Good understanding of Linux systems, networking concepts, and cloud security
• Strong problem-solving and troubleshooting skills

Good to Have (Preferred Skills)

• Exposure to GitOps practices
• Experience managing multi-environment setups (Dev, QA, UAT, Production)
• Knowledge of cloud cost optimization techniques
• Understanding of Kubernetes security best practices
• Experience with log aggregation tools (e.g., ELK/OpenSearch stack)

Language Preference

• Fluency in English is mandatory.
• Fluency in Hindi is preferred.

• Strong Social Media Manager Profile
• Mandatory (Experience 1) – Must have 1+ years of experience in social media management.
• Mandatory (Experience 2) – Must have proven experience managing content for Instagram and YouTube.
• Mandatory (Core Skills 1) – Must have experience in coordinating with video editors/graphic designers to deliver engaging content.
• Mandatory (Core Skills 2) – Must have excellent caption writing skills and ability to create engaging, trend-driven content.
• Mandatory (Company) - Product Startup Companies OR Highly Preferred - Online Gaming Companies
• Mandatory (Location) - Candidate must be based out of Mumbai

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

Job Summary

We are seeking a detail-oriented and proactive Tender Executive to manage tender submissions on GeM, e-procurement portals, and other government platforms. The role includes tender searching, documentation, coordination, and ensuring timely bid submission.

Key Responsibilities:

• Identify, track, and evaluate Government & Private tender opportunities through GeM, e procurement portals, and other tender platforms.

• Collect and analyze tender documents including eligibility criteria, specifications, scope of work, and terms & conditions.

• Coordinate with internal departments to gather required technical, financial, and administrative documents.

• Prepare and submit bids (technical & financial) within deadlines and ensure compliance with all tender requirements.

• Handle bid uploading, bid revisions, and documentation as per tender norms.

• Maintain records of submitted tenders, follow-ups, clarifications, and result tracking.

Required Skills & Competencies:

• Mandatory: Strong working knowledge of GeM (Government e-Marketplace) and various e procurement portals.

• Understanding of tender lifecycle, bidding procedures, technical bid, and financial bid.

• Proficiency in MS Office (Word, Excel, PDF handling).

• Strong documentation, communication, and coordination skills.

A legacy of 20+ years AMFI registered Mutual Fund Distributor and Financial Intermediary for various Investment & Insurance products. Amongst the top 0.5% registered Mutual Fund Distributors in India by AUM out of a total universe of more than 1.25lakh distributors. We manage the personal finances of 800+ families and 6000 + financial dreams. Near 100% client retention rate. Complete suite of Conventional & Alternative Investment & Insurance Products.

Job Profile

Job Profile & Responsibilities:

A) Key Responsibility Area

Client Sourcing

Periodical Financial Review

Day to Day Coordination between Client & Operations

Up sell and Cross sell

Renewals of Investment & Insurance Products

B) Key Performance Indicator

New Client Conversion

Client Retention

New Client Referrals

Product Sales Outcomes

100% Renewals

100% Client Wallet Share

Qualifications

CFP/ NISM Level-1 & Level-2 Registered Investment Advisor Certification & NISM V-A MF Certification

Other Skills-Advanced working knowledge of Excel, Basic Knowledge of Word & Power Point,

Good written and spoken English

Good written and spoken English

Working Days -Time

6 days working time : 9:30-6:30

Recruiter Instructionns

company strenght 20-25 employess

Desired Candidate Profile

Willingness to make a long term career in Wealth Management

Attributes of Trust, Integrity, Self Starter, Closure Focus, Customer Focus

Willingness to Learn, Attention to Detail, Team Player

1 to 3 years relevant work experience with a AMFI registered Mutual Fund Distributor or Mutual Fund House

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.

LendFlow is an AI-powered home loan assessment platform that helps mortgage brokers and lenders save hours by automating document analysis, income validation, and serviceability assessment. We turn complex financial documents into clear insights—fast.

We’re building a smart assistant that ingests client docs (bank statements, payslips, loan summaries) and uses modular AI agents to extract, classify, and summarize financial data in minutes, not hours. Think OCR + AI agents + compliance-ready outputs.

🛠️ What You’ll Be Building

As part of our early technical team, you’ll help us develop and launch our MVP. Key modules include:

• Document ingestion and OCR processing (Textract, Document AI)
• AI agent workflows using LangChain or CrewAI
• Serviceability calculators with business rule engines
• React + Next.js frontend for brokers and analysts
• FastAPI backend with PostgreSQL
• Security, encryption, audit logging (privacy-first design)

🎯 We’re Looking For:

Must-Have Skills:

• Strong experience with Python (FastAPI, OCR, LLMs, prompt engineering)
• Familiarity with AI agent frameworks (LangChain, CrewAI, Autogen, or similar)
• Frontend skills in React.js / Next.js
• Experience with PostgreSQL and cloud storage (AWS/GCP)
• Understanding of financial documents and data privacy best practices

Bonus Points:

• Experience with OCR tools like Amazon Textract, Tesseract, or Document AI
• Building ML/NLP pipelines in real-world apps
• Prior work in fintech, lending, or proptech sectors

✔️ Close sales via cold calls, meetings & door-to-door visits

✔️ Build and maintain strong customer relationships

✔️ Identify prospects and craft smart sales strategies

✔️ Track and report key performance metrics

✔️ Maintain and grow our client database

🔹 What We’re Looking For:

✔️ Graduate with 0.5–3 years of sales experience

✔️ Good communication, negotiation & interpersonal skills

✔️ Familiar with sales techniques and CRM tools

✔️ Bonus if you have accounting knowledge

✔️ Tech-savvy and self-driven

Task:

• Make documentations with formatting and in proper detailing
• Basic knowledge on Excel working with formula handling & reporting.
• Need to do multitasking, able to deliver tasks on time with expected quality
• Candidate should have thinking out of the box which supports the department to deliver good results in the pre-defined processes.
• Needs to be quick learner and able to come up with own thoughts on the tasks explained/shared to deliver good results
• Work closely with German team for operative processes/execution/deliverables.
• Flexible to adopt the changes in terms of processes/task handling.
• Knowledge on order fulfillment processes, managing support content on the website, inputs on support handling processes are added advantage.

We wish:

• At least bachelor in any stream or equivalent experience
• At least 1 year of experience in MS-Excel or similar office tools – is preferred
• Knowledge on VB script, macros is preferred
• Documentation skills
• Good Communication skills, at least speaking in English is required
• Good analytical skills
• Eager to know/experiment new technology and tools
• Web Browsing , ability to search quick results from web
• Experience on process documentation & presentation is preferred
• Ability to work independently with little or no daily supervision
• Out of box thinking and quick learner with willingness to learn new things

We Offer:

• Freedom to realise your own ideas & individual career & development opportunity.
• A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
• Professional challenges and career development opportunities.