Ethical Hacker

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

DevOps Engineer

Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.

Responsibilities

• 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
• Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
• Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
• Experience with middle-layer technologies including web servers (httpd, ningx),

application servers (Jboss, Tomcat) and database systems (postgres, mysql)

• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
• Experience supporting on-premise solutions as well as on AWS cloud
• Experience working with and supporting Spark-based applications on YARN
• Experience with one or more automation tools such as Ansible, Terraform, etc
• Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Experience supporting clients remotely and on-site
• Experience working with and supporting Java- and Python-based tech stacks would be a Plus

Job Purpose and Impact

The DevOps Engineer is a key position to strengthen the security automation capabilities which have been identified as a critical area for growth and specialization within Global IT’s scope. As part of the Cyber Intelligence Operation’s DevOps Team, you will be helping shape our automation efforts by building, maintaining and supporting our security infrastructure.

Key Accountabilities

• Collaborate with internal and external partners to understand and evaluate business requirements.
• Implement modern engineering practices to ensure product quality.
• Provide designs, prototypes and implementations incorporating software engineering best practices, tools and monitoring according to industry standards.
• Write well-designed, testable and efficient code using full-stack engineering capability.
• Integrate software components into a fully functional software system.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Proficiency in at least one configuration management or orchestration tool, such as Ansible.
• Experience with cloud monitoring and logging services.

Qualifications

Minimum Qualifications

• Bachelor's degree in a related field or equivalent exp
• Knowledge of public cloud services & application programming interfaces
• Working exp with continuous integration and delivery practices

Preferred Qualifications

• 3-5 years of relevant exp whether in IT, IS, or software development
• Exp in:
•  Code repositories such as Git
• Scripting languages (Python & PowerShell)
• Using Windows, Linux, Unix, and mobile platforms within cloud services such as AWS
• Cloud infrastructure as a service (IaaS) / platform as a service (PaaS), microservices, Docker containers, Kubernetes, Terraform, Jenkins
• Databases such as Postgres, SQL, Elastic

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

• Seeking an Individual carrying around 5+ yrs of experience.
• Must have skills - Jenkins, Groovy, Ansible, Shell Scripting, Python, Linux Admin
• Terraform, AWS deep knowledge to automate and provision EC2, EBS, SQL Server, cost optimization, CI/CD pipeline using Jenkins, Server less automation is plus.
• Excellent writing and communication skills in English. Enjoy writing crisp and understandable documentation
• Comfortable programming in one or more scripting languages
• Enjoys tinkering with tooling. Find easier ways to handle systems by doing some research. Strong awareness around build vs buy.

• Proficient in Linux Commands line and troubleshooting.
• Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
• Hands-on experience with CI tooling preferably with Jenkins.
• Proficient in deployment using Ansible.
• Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
• Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
• Scripting languages: Bash, Python, Groovy.
• Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Role : DevOps Engineer 

Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)

Location : Bangalore. 5 Days Working.

Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes 

Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to  work on, helping to enhance our product performance and reliability. 

Responsibilities: 

• Build & operate infrastructure to support website, backed cluster, ML projects in the  organization. 
• Helping teams become more autonomous and allowing the Operation team to focus on  improving the infrastructure and optimizing processes. 
• Delivering system management tooling to the engineering teams. 
• Working on your own applications which will be used internally. 
• Contributing to open source projects that we are using (or that we may start). 
• Be an advocate for engineering best practices in and out of the company. 
• Organizing tech talks and participating in meetups and representing Box8 at industry  events. 
• Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous  Integration/Delivery/Deployment (CI/CD) practices. 

Requirements: 

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing  amounts of traffic and new product requirements. 
• Ruby On Rails or Python and Bash/Shell skills. 
• Experience managing complex systems at scale. 
• Experience with Docker, rkt or similar container engine. 
• Experience with Kubernetes or similar clustering solutions. 
• Experience with tools such as Ansible or Chef Understanding of the importance of smart  metrics and alerting. 
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are  on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch). 
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers. 
• Managing large scale production grade infrastructure on AWS Cloud. 
• Good Knowledge on scripting languages like ruby, python or bash. 
• Experience in creating in deployment pipeline from scratch. 
• Expertise in any of the CI tools, preferably Jenkins. 
• Good knowledge of docker containers and its usage. 
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu. 

Good to have: 

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka,  Elasticsearch.