Senior SAP PPDS Consultant

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

Candidate must be from a product-based company with experience handling large-scale production traffic.

2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).

3. Candidate must have solid experience with Kubernetes.

4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

5. Candidate must be an individual contributor with strong ownership.

6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.

7. Candidate must have working knowledge of Go/Python and Java.

8. Candidate should have working experience on Cloud platform - AWS

9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

• Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.

• Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)     
• Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS 
• Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector. 

• Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
• Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).

• Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
• Kubernetes CKA or CKAD certification nice to have

- You will manage all elements of the post-sale program relationship with your customers, starting with customer on-boarding and continuing throughout the customer relationship. 

- As the primary customer interface, you engage with customer teams to educate, identify needs, develop designs, set goals, manage and execute on plans that unlock continuous, incremental value from their investments in the CloudPassage Halo platform.

- You are hands-on during execution and thoroughly enjoy seeing your security projects come to life and supporting them afterwards. You are a trusted adviser.

Responsibilities :

- Manage a portfolio of 5+ Enterprise customer accounts with complex needs (typical enterprise customers invest between $500k and $4m+ per year with CloudPassage, have hundreds to tens of thousands of individual public cloud infrastructure deployments, and protect hundreds of thousands of cloud infrastructure assets with Halo).

- Provide level-3 technical support on your customer's most complex issues

- Lead implementation of low-level security controls in Cloud environments, for services, server and containers

- Remotely diagnose & resolve DevSecOps issues in customer environments - able to resolve their DevOps issues that may be interfering with CloudPassage processing.

- Interact with CloudPassage Engineering team by providing customer issue reproduction and data capture, technical diagnostics and validating fixes. QA experience preferred.

- Establish and program manage proactive, value-driven, high-touch relationships with your customers to understand, document and align customer strategies, business objectives, designs, processes and projects with Halo platform capabilities and broader CloudPassage services.

- Develop a trusted advisor relationship by building and maintaining appropriate relationships at all levels with your customer accounts, creating a premium and high-caliber experience.

- Ensure continued satisfaction, identify & confirm unaddressed customer needs that can be value-add opportunities for up-sell and cross-sell, and communicate those needs to the CloudPassage sales team. Identify any early CSAT issues and renewal risks and work with the internal team to remediate and ensure strong CSAT and a successful renewal.

- Be a strong customer advocate within CloudPassage and identify and support areas for improvement in the customer experience, both in our product and processes.

- Be team-oriented, but with a bias towards action to get things done for your customers.

Requirements : Strong cloud security knowledge & experience including :

- End-to-end enterprise security processes

- Cloud security - cloud migrations & shift in security requirements, tooling & approach

- Hands-on DevOps, DevSecOps architecture & automation (critical)

- 4+ years experience in security consulting and project/program management serving cybersecurity customers.

- Complex, level 3 technical support

- Remotely diagnosing & resolving DevSecOps issues in customer environments

- Interacting with CloudPassage Engineering team with customer issue reproduction

- Experience working in a security SaaS company in a startup environment.
 
- Experience working with Executive and C-Level teams.

- Ability to build and maintain strong relationships with internal and external constituents.

- Excellent organization, project management, time management, and communication skills.

- Understand and document customer requirements, map to product, track & report metrics, identify up-sell and cross-sell opportunities.
 
- Analytical both quantitatively and qualitatively.

- Excellent verbal and written communication skills.
 
- Security certifications (Security +, CISSP, etc.).

Expert Technical Skills :

- Consulting and project management : documenting project charters, project plans, executing delivery management, status reporting. Executive-level presentation skills.

- Security best practices expertise : software vulnerabilities, configuration management, intrusion detection, file integrity.

- System administration (including Linux and Windows) of cloud environments : AWS, Azure, GCP; strong networking/proxy skills.

Proficient Technical Skills :

- Configuration/Orchestration (Chef, Puppet, Ansible, SaltStack, CloudFormation, Terraform).

- CI/CD processes and environments.

Familiar Technical Skills & Knowledge : Python scripting & REST API's, Docker containers, Zendesk & JIRA.