Brand Manager

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

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Roles and Responsibilities

• Write fresh, original in-house long-form SEO content for blogs, landing pages, and website pages
• Conduct keyword research to support SEO-driven content strategies
• Create long-form content such as blogs, guides, and thought leadership articles
• Support the sales team with pitch decks, sales email templates, etc.
• Plan and write content for social media platforms, short-form content, and content management
• Design and write email campaigns for lead generation
• Bring new, bright, and creative content ideas to the table
• Maintain a strong eye for detail in grammar, tone, and structure
• Rewrite, update, and optimize existing content
• Produce SEO-optimized content aligned with search intent
• Collaborate with marketing and SEO teams to improve content performance, impressions, and rankings.

Required Skills and Tools

• Strong writing, editing, and proofreading skills
• Clear and confident communication skills
• Experience or working knowledge of SEO content writing
• Familiarity with tools like SEMrush, Google Analytics, and Google Search Console
• Experience using WordPress for content publishing is a plus
• Ability to write both long-form and short-form content
• Understanding of content optimization for search engines
• Basic knowledge of copywriting principles

Responsibilities:

• Design, implement, and maintain scalable and reliable database solutions on the AWS platform.
• Architect, deploy, and optimize DynamoDB databases for performance, scalability, and cost-efficiency.
• Configure and manage AWS OpenSearch (formerly Amazon Elasticsearch Service) clusters for real-time search and analytics capabilities.
• Design and implement data processing and analytics solutions using AWS EMR (Elastic MapReduce) for large-scale data processing tasks.
• Collaborate with cross-functional teams to gather requirements, design database solutions, and implement best practices.
• Perform performance tuning, monitoring, and troubleshooting of database systems to ensure high availability and performance.
• Develop and maintain documentation, including architecture diagrams, configurations, and operational procedures.
• Stay current with the latest AWS services, database technologies, and industry trends to provide recommendations for continuous improvement.
• Participate in the evaluation and selection of new technologies, tools, and frameworks to enhance database capabilities.
• Provide guidance and mentorship to junior team members, fostering knowledge sharing and skill development.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience as an AWS Architect or similar role, with a focus on database technologies.
• Hands-on experience designing, implementing, and optimizing DynamoDB databases in production environments.
• In-depth knowledge of AWS OpenSearch (Elasticsearch) and experience configuring and managing clusters for search and analytics use cases.
• Proficiency in working with AWS EMR (Elastic MapReduce) for big data processing and analytics.
• Strong understanding of database concepts, data modelling, indexing, and query optimization.
• Experience with AWS services such as S3, EC2, RDS, Redshift, Lambda, and CloudFormation.
• Excellent problem-solving skills and the ability to troubleshoot complex database issues.
• Solid understanding of cloud security best practices and experience implementing security controls in AWS environments.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Database - Specialty, or equivalent certifications are a plus.

We are looking out for an iOS Developer to join the Mobile team to take end to end ownership of our iOS Consumer App. We are looking out for someone who speaks fluent Swift and loves shipping and building beautiful, maintainable and scalable apps.

Requirements:

• You have 2-6 years of experience working with Swift and Objective-C whenever you encounter the pitfalls of Swift.
• Familiarity with MVC, MVP, MVVM and VIPER architectures.
• You have worked on 2-3 production apps with MAU's in the range of 25K+.
• You love getting your hands dirty and are dealing with legacy parts of the code bases.
• You have experience building projects from scratch as well as building on top of existing code bases.
• You have handled complex views ranging from Form Heavy views to Animation Heavy views.
• You have a strong bias towards action.

Good to have:

• Experience dealing with Location Data along with Mapping interfaces like Google Maps, Map Box or MapMyIndia.
• Experience implementing CI/CD, Automated Tests and Unit Testing.
• Experience with RxSwift, Alamofire, Kingfisher, Lottie, SwiftyBeaver, Firebase SDK, Clevertap SDK and ObjectMapper.
• Implementing designs w. r. t HCI guidelines.

Required Skills (Technical Competency):

• Solid understanding of Object-Oriented Design and Programming.
• Hands-on experience in Software development in C# [Desktop Applications].
• Strong expertise in OOPS, basic design skills.
• Experience in C#, Winforms is must,
• Knowledge in PRISM, MVVM, LinQ.
• Expertise in multi-threaded programming.
• Strong logical and analytical skills.
• Experience of software development process.
• Expertise in development, testing and debugging skills.
• Knowledge of design patterns and its usage and tools like Visio.
• Experience in UML, SOLID.
• Experience in unit testing frameworks like NUnit.
• Expertise in troubleshooting bugs and finding solutions.
• Strong abstraction, analytical and problem-solving skills.
• Working with multisite teams, Quality conscious and Process Oriented.

• 0-2 years of software experience in front-end mobile/web app development
• Good understanding of concurrency and multithreading
• Full Stack development experience building data, logic tier and user experience software
• Exposure to Android SDK (experience in AndroidTV framework will be a plus)
• Knowledge of REST, JSON, MQTT, Databases, Networking technologies
• React | React Native, Multi-platform exposure is a plus
• Experience with Agile development processes is a plus

About FirstPrinciples

• Producing high-quality documentation. The audience is U.S based so the style of writing should be audience-specific.
• Provide QA and copy editing for content produced by writers.
• Help the team to create high-quality web pages.
• Act as the Content Manager and implement the Content Calendar / Content strategy.
• Liaise with content writers to ensure brand consistency.
• Speak with the Digital Marketing Manager regularly and inform of any issues.
• Proactively assess possible problem areas.
• Improve imagery and content creation processes to increase accuracy and reduce the time taken.
• Assess employee’s competencies and ensure that employees are adequately trained. Plan and assign work based on competencies. Train team using resources provided.
• Coach the team daily, so that business objectives are met consistently. Plan, manage and adjust staff levels to meet requirements.
• Assist with the recruitment process when / if required.

• Excellent written and verbal skills in English with atleast 6 years of experience as a Content Writer across various industries. Previous agency experience will be an added advantage.
• Previous experience in copywriting will be a strong plus.
• Prior experience using SEO best practices to create content.
• Experience in formulating the content strategy and content calendar along with experience of working and managing offshore parties
• Previous experience in recruitment and team building (desirable)
• Good IT systems knowledge and technical confidence.
• MS Excel competence for the creation of staff tracking reports along with strong analytical and problem-solving skills.
• Strong people and performance management skills with a mindset which is open to change, unlearning & relearning, if needed.
• A collaborative approach to working with others.
• The ability to lead and motivate a team of people to succeed by utilizing appropriate interpersonal styles (including leading by example, setting expectations