Submit this assignment to get evaluated:
https://docs.google.com/document/d/1-SWw6CYWmiF7Rwl5CZXVJnyujWY3RllHzDzpx6dxmP4/edit?usp=sharing
About Jinn
Jinn is a Voice AI sales agent for businesses. It is a GenAI powered online equivalent of a smart and empathetic sales person. It helps brands convert more customers and increase sales.
About role:
- Pre-Sales Role in a B2B SaaS startup in AI space led by 2X entrepreneurs from IIT, IIMs. Fast paced with a lot of learning and growth.
- Responsibility: Doing research and making a list of potential leads. Outreach to leads at Scale leading to selling Voice AI agent to businesses. Generate leads, Build relationships, Get customer inputs on product, and most importantly Generate Revenue
- Duration: 3-6 months internship || Converts to Full Time based on performance
- Compensation (Stipend): 15-25k per month || Full time 4 - 6 LPA
- Ideal Profile: Interest in building a sales career, great communication, good discipline, basic understand of tech (AI)
- Process: Assignment followed by Interview || Assignment Link: https://docs.google.com/document/d/1-SWw6CYWmiF7Rwl5CZXVJnyujWY3RllHzDzpx6dxmP4/edit?usp=sharing
Shubham Vishwakarma
Full Stack Developer - Averlon
About Jinn AI
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Google AnalyticsSenior SEO & Content Marketing Specialist (Cybersecurity Products)
Experience Required: 2+ Years
Location: Ahmedabad
Employment Type: Full-Time
Job Overview:
We are looking for a highly driven Senior SEO & Content Marketing Specialist with 2+ years of experience in SEO and content strategy, particularly in the cybersecurity or SaaS domain. You will be responsible for planning, creating, and optimizing content that improves search rankings, builds brand authority, and drives organic leads for cybersecurity products like SSL Certificates, Vulnerability Scanners, etc.
Key Responsibilities:
Content Strategy, Distribution & Promotion:
- Develop SEO-driven content marketing strategies tailored for cybersecurity buyers (IT admins, CISOs, developers, enterprises).
- Conduct keyword research focusing on commercial, informational, and comparison-based cybersecurity keywords.
- Plan topic clusters, content calendars, and pillar pages around cybersecurity themes such as data protection, vulnerability management, encryption, compliance, threat intelligence, etc.
- Collaborate with content writers and cybersecurity experts to ensure the content is technically accurate, engaging, and SEO-friendly.
- Promote content across platforms: LinkedIn, Twitter (X), Reddit, Quora, Medium, developer forums, and cybersecurity communities.
- Repurpose blog content into short videos, infographics, email content, and social media posts.
- Coordinate with PR teams for press releases, online reputation management, and digital partnerships.
SEO Strategy & Implementation:
- Develop and implement SEO strategies specifically tailored to cybersecurity products and services.
- Conduct competitor and market analysis to identify growth opportunities.
- Conduct regular website audits and resolve technical issues (crawl errors, broken links, redirect chains, site speed, mobile friendliness, etc.).
- Work with developers on implementation of schema markup, site structure, canonical tags, robots.txt, and XML sitemaps.
- Plan and execute high-quality link-building campaigns.
Analytics & Reporting:
- Track, measure, and report website performance using tools like GA4, Search Console, SEMrush, Ahrefs, etc.
- Provide insights and recommendations based on performance metrics and trends.
- Create monthly SEO performance reports and present to stakeholders.
Required Skills & Qualifications:
- Minimum 2 years of experience in SEO.
- Strong knowledge of search engine algorithms, ranking factors, and SEO best practices.
- Hands-on experience with SEO tools: Google Analytics, Google Search Console, SEMrush, Ahrefs, Screaming Frog, Moz, etc.
- Knowledge of HTML/CSS, basic WordPress or CMS platforms, and understanding of web technologies.
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- Strong analytical skills with the ability to derive actionable insights from data.
What We Offer:
- Competitive salary + performance incentives.
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Job Location: Ahmedabad, Gujarat, India
www.positiwise.com
PHP
Laravel
CodeIgniter
JavascriptJob Description:
- Work primarily with PHP, object-oriented design, Unit testing techniques, debugging techniques, HTTP, MySQL and Apache.
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Must possess a strong understanding of Object-Oriented technology.
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We’re Hiring: Relationship Manager – Retail Sales 🌟
📍 Locations: Mumbai | Ahmedabad
🕒 Mon–Sat | ⏰ 10 AM – 6:30 PM
🎓 Qualification: Graduate | 💼 Exp: 1–5 yrs
🔹 Key Responsibilities:
✨ Drive client acquisition & achieve GWP sales targets
🤝 Manage & grow a network of 40–45 insurance agents
📊 Provide accurate quotations & close policy sales
🎯 Ensure 100% monthly GWP target achievement
💬 Build & maintain strong client & agent relationships
📋 Prepare daily/weekly MIS & ensure process compliance
💡 Skills Required:
📚 Insurance product knowledge
🗣️ Excellent communication & relationship management
⚡ Leadership & business acumen
🎁 Benefits:
💰 Competitive salary & incentives
🎓 Training & professional growth opportunities
🩺 Insurance coverage (GTL)
🤝 Supportive, growth-oriented work culture
Docker
Kubernetes
Amazon Web Services (AWS)Please Apply - https://zrec.in/RZ7zE?source=CareerSite
About Us
Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.
Job Description
Job Title: DevOps Engineer GCP
Department: Technology
Location: Gurgaon
Work Mode: On-site
Working Hours: 10 AM - 7 PM
Terms: Permanent
Experience: 2-4 years
Education: B.Tech/MCA/BCA
Notice Period: Immediately
Infra360.io is searching for a DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As a DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure.
Below is a detailed description of the roles and responsibilities, expectations for the role.
Tech Stack :
- Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
- Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
- ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
- Helm: Expertise in Helm for managing Kubernetes applications.
- Cloud Platforms: Expertise in GCP, AWS or Azure will be an added advantage.
- Debugging and Troubleshooting: The DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.
Key Responsibilities:
- CI/CD and configuration management
- Doing RCA of production issues and providing resolution
- Setting up failover, DR, backups, logging, monitoring, and alerting
- Containerizing different applications on the Kubernetes platform
- Capacity planning of different environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
- CI/CD and configuration management
- Doing RCA of production issues and providing resolution
- Setting up failover, DR, backups, logging, monitoring, and alerting
- Containerizing different applications on the Kubernetes platform
- Capacity planning of different environment's infrastructure
- Ensuring zero outages of critical services
- Database administration of SQL and NoSQL databases
- Infrastructure as a code (IaC)
- Keeping the cost of the infrastructure to the minimum
- Setting up the right set of security measures
Ideal Candidate Profile:
- A graduation/post-graduation degree in Computer Science and related fields
- 2-4 years of strong DevOps experience with the Linux environment.
- Strong interest in working in our tech stack
- Excellent communication skills
- Worked with minimal supervision and love to work as a self-starter
- Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
- Experience with version control systems like Git
- Strong experience of GCP.
- Strong experience with managing the Production Systems day in and day out
- Experience in finding issues in different layers of architecture in production environment and fixing them
- Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
- Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
- Experience in automation tools like Ansible/SaltStack and Jenkins
- Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
- Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
- Experience with managing/mentoring small team of 2-3 people (desirable)
- Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
- Experience in logging tools Like ELK/Loki.
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FlaskPrimary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
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Experience- #5-https://www.linkedin.com/feed/hashtag/?keywords=9years&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6991253725264662528">#9Years
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Notice Period- https://www.linkedin.com/feed/hashtag/?keywords=immediate&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6991253725264662528">#Immediate to 15#30Days
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Data Science
Machine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
.NET
C#
MongoDB- Full Stack developer (.Net): (experience 3 to 6 years)
- Experience in designing multithreaded/concurrent/distributed systems.
- Experience in .Net framework and C# programming is required (3+ years).
- Experience in working on scalable non-blocking server side frameworks like Spring stack(2+ years)
- Experience with both SQL and NoSQL databases, Message brokers. ex: Postgres/MySQL, MongoDB/DynamoDB/Redis/Neo4j, Kafka (2 +years)
- Experience in Front end language and frameworks. JavaScript, must be an expert in one of the front end frameworks (ex: React) (2+)
- Understand cloud technologies and should have deployed applications or products in popular cloud platforms like AWS, GCP, MS Azure, etc (2+ years).
Optional:
- Experience with BigData is a big plus
- Knowledge of functional programming principles is a plus.
- Experience in HTML5 and CSS3
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon