About The company:
NoBrokerHood started in the year 2018, aimed to make life more convenient and secure for residents in any
housing society. NoBrokerHood offers a plethora of services and features which enables its customer, as a user, to
manage multiple activities inside residential buildings, housing societies, and gated communities. From finding
domestic help to monitoring visitor entry and maintenance or utility bill payment, it’s all done from your phone. It
also further strengthens the safety of your society by keeping visual and digital records of all entries and exits –
accessible anytime and anywhere – and automates staff entry through a facial recognition or biometric process.
About the role:
Qualifications and Education Requirements
• Excellent Verbal and Written communication skills
• Minimum 1 year into vendor acquisition/alliances
• Good interpersonal skills, numerical and analytical ability
• Decision making skills
• Good in making presentations
• Language Required: English, Hindi & Regional language is mandatory
• Should be flexible for any 9 hour shift between 8 am to night 11 pm & 6 days
Working with 1 day rotational off
Role and Responsibility
• Responsible for B2B Partnership & alliances across the city
• Able to implement different strategies for on-boarding new vendors across all the apartment category
• Holding in person meetings with the potential vendors and creating proposals for the same
• Setting up a reward platform via tie up with vendors
• Building good relationship with the new vendors
• Setting up a revenue model for vendor partnership
To be successful in this role, you’ll need to have the following skills:
• Communication: Excellent communication skills in English and/or any regional language.
• Agility: Ability to change according to business requirements.
• Motivation: Demonstrate a positive, ‘can-do’ attitude. Willing to roll up your sleeves and
get things done.
• Data-driven: Keen interest in analyzing performance data and transforming it into actionable strategies.
• Growth-driven: Keen to grow as an individual.
Benefits
• Performance Bonus
• Private Health Insurance
Age Criteria : Till 32 Years
Shubham Vishwakarma
Full Stack Developer - Averlon
About NoBroker
About
NoBroker is a new and disruptive force in the Real Estate Industry. We’re a site that’s built to let you buy, sell, rent, find a PG or a flatmate WITHOUT paying any brokerage.
Our mission is to lead India’s real estate industry, towards an era of doing real estate transactions in a convenient and brokerage-free manner. We currently save our customers over 250 crores per year in brokerage. NoBroker was founded by alumni from IIT Bombay, IIT Kanpur & IIM Ahmedabad in March 2014 and have since served over 35 lakh customers. As a VC funded company, we’ve raised over 20M+ in a couple of rounds of funding. We’re a team of 350 people driven by passion, the passion to help you fulfil your housing requirement, without paying a hefty brokerage.
NoBroker has worked tirelessly to remove all information asymmetry caused by brokers. We also enable owners and tenants to interact with each other directly by using our technologically advanced platform. Our world-class services include-
1-Verified brokerage-free properties for buyers and tenants
2- Quick brokerage-free tenants & buyers for property owners
3-Benefit rich services including online rental agreement and dedicated relationship managers
Our app (70 lakhs+ downloads) and our website serve 4 cities at present – Bangalore, Mumbai, Pune and Chennai. Our rapid growth means that we will keep on expanding to more cities shortly.
Are you looking for huge work- independence, passionate peers, steep learning curve, meritocratic work culture, massive growth environment with loads of fun, best-in-class salary and ESOPs? Just apply to our jobs below :-)
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Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
React.js
Angular (2+)
Java
Spring BootJob Description: Senior Full Stack Java Developer
Timings: 2 p.m – 11 p.m
Employment: Full-time (Hybrid)
Overview: We are hiring two exceptional India-based Lead Developers to work as core members of U.S. based Agile teams. These individuals will own the technical implementation of critical features across customer-facing and associate-facing applications. This is a hands-on technical role, with at least 50% of time spent actively writing code or performing engineering tasks, while also guiding the rest of the team in execution.
Key Responsibilities:
• Serve as the senior technical contributor in a cross-border team focused on Loyalty, Mobile App, CRM, and Customer Pickup.
• Own software design, development, testing, and delivery for cloud-native microservices and web components.
• Lead and guide code reviews, enforce coding standards, and ensure best practices across development.
• Work closely with American product, architecture, and Development Manager teams to break down epics, refine stories, and estimate work. • Mentor India-based junior developers and enforce engineering best practices in a collaborative, remote-first culture.
• Proactively communicate blockers, design decisions, and progress across global teams.
• Write clean, testable, scalable code with strong observability and resilience patterns.
• Integrate with Salesforce, internal APIs, SQL/NoSQL systems, and customer data platforms.
Required Experience & Skills:
• 8-10 years of hands-on development experience.
• Deep expertise in Java, Spring Boot, RESTful API development, SQL (PostgreSQL, SQL Server), and front-end frameworks (React/Angular). • Experience working within an Agile environment alongside U.S.-based product managers, development managers, and designers.
• Strong debugging, troubleshooting, and unit/integration testing skills.
• Familiar with CI/CD pipelines, source control (Git), containerization (Docker), and modern deployment patterns.
• Excellent communication and proactive problem-solving in a remote-first environment.
• Prior experience working in an offshore/onshore model is highly preferred.
COMPANY DESCRIPTION :
NNIIT is a pioneering Edtech start-up with the goal of empowering individuals in the digital
age. We are actively seeking talented individuals to join our dynamic team in Hyderabad. If
you meet the qualifications and are passionate about making an impact in the Ed-tech
sector, keep reading!
JOB DESCRIPTION :
Company: NNIIT (On-Roll)
Salary: upto 4lpa + Incentives
Job Location: Hyderabad (On site)
ROLES AND RESPONSIBILITIES :
Source new sales opportunities through inbound lead follow-up and outbound
cold calls and emails.
Calling to 250+ calls/day and maintain 3hrs of Talk-time thus booking 10
conductions for the week for each day
Understand customer needs and requirements.
Route qualified opportunities to the appropriate sales executives for further
development and closure.
Close sales and achieve quarterly quotas
Research accounts, identify key players and generate interest.
Maintain and expand your database of prospects within your assigned
territory Team with channel partners to build pipeline and close deals
Perform effective online demos to prospects.
FAQs :
Salary Expectation: Minimum 20,000 INR with the potential to reach up to 74,000
INR based on skills, experience, and interview performance.
Eligibility Criteria: Graduates with 1 to 3 years of experience in Ed-tech K9 & K12
background are eligible to apply.
Specific Skills Required: Good sales skills, proficiency in English, and strong
communication abilities are essential.
Applicants: Both male and female candidates are welcome to apply.
ADDITIONAL INFORMATION :
Seniority Level: Mid-Senior level
Industry: E-Learning Providers
Employment Type: Full-time
Job Functions: Sales, Business Development
React NativeLocation:- Bangalore
Responsibilities:
1. Design and build highly reliable and performant applications that deliver a great user experience.
2. Own large technical deliverables and execute it in a stuctured manner.
3. Take accountibility of the over health of the applications you build.
4. Platformise components as libraries, utilities and promote reuse.
5. Be able to conceptualise and develop prototypes quickly.
6. Lead by example, mentor and guide team members on everything from structured problem solving to development of best practices.
Requirements:-
1. Deep expertise of the iOS and Android ecosystems.
2. Hands on experience with either React Native, Flutter, Swift or Kotlin.
3. Deep understanding of your tools: Languages, frameworks, systems.
4. Experience with abstracting requiremets into frameworks.
5. Hungry to learn, share knowledge and enjoy mentoring others.
6. Data driven, having customer empathy, striving to build stable, delightful applications.
Option but Desired Requiremet:-
Experience with video streaming and Real Time Communication Technologies.
Vue.js
AngularJS (1.x)Angular (2+)React.js
Javascript
Kubernetes
Docker
Amazon Web Services (AWS)We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.
You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge.
We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.
Roles and Responsibilites:
- To bid on portals like Upwork, Guru, Freelancer, PPH, etc. Sending Proposal bid to grab new business opportunities Coordinate development of detailed technical proposals with the technical team.
- Must have prior Lead Generation experience on Web and Mobile Applications.
- Client Handling (Managing Existing clients and acquiring new clients) interaction clients to analyze the project requirements.
- Bidding and New business generation on Bidding Platforms
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Job purpose:
To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.
Accountabilities:
- Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
- Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
- Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.
- Analyze the errors of the model and design strategies to overcome them.
- Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
Qualifications & Specifications
- Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference
- Experience of machine learning algorithms and libraries
- Understanding of data structures, data modeling and software architecture.
- Deep knowledge of math, probability, statistics and algorithms
- Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
- Big data environment: Hadoop, Spark
- Programming languages: Python, R, PySpark
- Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means
clustering, ensemble models, random forest, svm, gradient boosting
- Sampling data: bagging & boosting, bootstrapping
- Neural networks: ANN, CNN, RNN related topics
- Deep learning: Keras, Tensorflow
- Experience with AWS Sagemaker deployment and agile methodology
- Min 7+ Years of experience as Testing experts
- Test Engineer with 3+ Yrs of experience inTOSCAautomation Tool
- Responsible for planning, designing, deploying, maintenance and troubleshooting related toTOSCA
- Must have a proven experience ofin leading the development of automation framework and automation (functional) test scripts
- Good knowledge and hands one experience inTOSCAautomation Tool
- Execute test automation scripts and Publish test reports
- Design and develop Test Automation Scripts usingTosca
- Holds good knowledge and experience in differentToscarelated automation frameworks
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon