Digital Sales Executive

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

Key Responsibilites

1. Administrave Support

 Manage calendars, schedule appointments, and coordinate meetings.

 Handle travel arrangements: flights, hotels, visas, transporation.

 Prepare agendas, minutes of meetings, and follow-up actions.

 Draft emails, letters, reports, and presentations.

 Maintain filing systems (digital and physical).

2. Communication & Coordination

 Act as a point of contact between the executive and internal/external stakeholders.

 Manage incoming calls, messages, and correspondence.

 Coordinate with different departments for updates, approvals, and deadlines.

3. Office & Task Management

 Track daily tasks, priorites, and deadlines for the executive.

 Support in planning events, meetings, conferences.

 Handle expense reports, reimbursements, and vendor coordina on.

 Ensure the executive’s office is organized and functioning efficiently.

4. Project & Follow-up Support

 Monitor ongoing projects, deadlines, and deliverables.

 Conduct research and prepare summaries or briefings.

 Assist in data collec on, documentation, and presentations for meetings.

5. Confidential Support

 Maintain strict confidenality of sensitive information.

 Handle personal tasks when required (top zonal based on role requirement).

Required Skills & Qualifications

 Bachelor’s degree in any discipline.

 2–5+ years of experience as an Executive Assistant or similar role.

 Strong verbal and written communication skills.

 Proficiency in MS Office

 Excellent me management and organizational abilities.

 Ability to multi task, work under pressure, and prioritize effectively.

 Professional appearance and behaviour.

 High level of discretion and integrity.

Preferred Skills

 Knowledge of office management systems.

 Experience in working with senior executives or in fast-paced environments.

 Strong problem-solving and decision-making skills.

Work Environment

 Office-based role (with occasional travel if required).

 Availability beyond office hours when necessary for urgent tasks.

Job Summary:

We are hiring a Data Scientist – Gen AI with hands-on experience in developing Agentic AI applications using frameworks like LangChain, LangGraph, Semantic Kernel, or Microsoft Copilot. The ideal candidate will be proficient in Python, LLMs, and prompt engineering techniques such as RAG and Chain-of-Thought prompting.

Key Responsibilities:

• Build and deploy Agent AI applications using LLM frameworks.
• Apply advanced prompt engineering (Zero-Shot, Few-Shot, CoT).
• Integrate Retrieval-Augmented Generation (RAG).
• Develop scalable solutions in Python using NumPy, Pandas, TensorFlow/PyTorch.
• Collaborate with teams to deliver business-aligned Gen AI solutions.

Must-Have Skills:

• Experience with LangChain, LangGraph, or similar (priority given).
• Strong understanding of LLMs, RAG, and prompt engineering.
• Proficiency in Python and relevant ML libraries.

Nice-to-Have:

• Wrapper API development for LLMs.
• REST API integration within Agentic workflows.

Qualifications:

• Bachelor’s/Master’s in CS, Data Science, AI, or related.
• 4–7 years in AI/ML/Data Science, with 1–2 years in Gen AI/LLMs.

• 4-8 years Asp.net web API
  ● Asp.net core 1
  ● Asp.net core 2
  ● Asp.net core 2.1

Preferred Skills:-

• Micro-services with C#
• Having worked in a product development environment is desirable.
• Having worked in the finance and banking domain is desirable.
• Docker and Linux knowledge is desirable

About Wokelo:

Wokelo.ai is a Gen-AI platform for investment research and insights. We are reimagining the future of work by unlocking human-like syntheses at scale. Our platform leverages proprietary technology and state-of-the-art LLM models to uncover rich insights and produce high fidelity analysis in minutes (read more about us here).

Wokelo is being leveraged by leading Private Equity, Investment Banks, Corporate Strategy,

Venture capital and Fortune 500 firms. We are headquartered in Seattle with a lean team co-located in the US and India. Our journey has attracted the backing of renowned venture funds and AI pioneers. We are looking for someone to help us scale up the business from 0 to 1.

What is in it for you:

• Opportunity to work in a disruptive first of its kind platform in the Generative AI-SAAS space

• Grow with us as we scale up, opportunity to build a category defining startup 

• Work in production grade environment employing various Gen-AI models at scale  

• Strong learning curve across NLP, ML models, LLM ops, DevOps, agent architectures, observability platforms

• Compensation and ESOPs commensurate for a founding member

• Remote/flexible work environment with travel relocation options to US/MENA/EMEA regions

Qualifications:

• 2+ years of experience in software development. Demonstrated ability to design customer-

focused, architecturally robust solutions that provide best-in-class software experiences for

our users

• In-depth programming knowledge of Python and Django (proficiency is must have)

• Prior experience in developing a SaaS platform (a strong plus)

• Prior experience in NLP engineering and building ML models (preferred)

• Prior experience in working with SQL/NoSQL databases is preferred

• Tech architecture/DevOps background is preferred, not mandatory

• Basic understanding of LLMs, RLHF, transformers, embeddings

• Strong understanding of Test Automation and integration of Testing with the development

process

• Champion of an engineering culture that emphasizes QA, Agile, DevOps, and CI/CD

• A pragmatic problem-solver who can identify the essence of a problem and deliver simple,

elegant solutions to that problem.

• Hustle attitude to be able to deliver and work on several products/features at the same time.

• Proficiency with distributed systems built on cloud infrastructure (Azure, AWS)

• Micro-services and serverless architecture. Understanding of Docker, Kubernetes

Requirements:-

• Bachelor’s degree in business or a related field

MBA Freshers

• 0 to 1 years experience in Sales and Business Development

• Transformative approach to leadership

• Aware of the latest market trends and shifts, as well as projections for the future

• Evidence of ability to innovate and implement change successfully

• Exceptional communication and presentation skills

• Able to be persuasive and procure buy-in from upper management

• Solid computer skills and awareness of web-based marketing and social media

• Driven and committed to success while maintaining integrity.

• B2B Sales of promotion activity.

•Bike & DL is mandatory.

Roles and responsibilities:-

We Are Hiring Candidates Having Excellent Knowledge Of Sales And Convening Skills. Responsibilities of the Candidate Include:-

• Determining and Conveying Sales Targets That Facilitate the Actualization of Our Company's Broader Objectives

• Assigning Work to Sales Representatives in an Equitable Manner

• Supervising Staff to Ensure They Perform the Correct Tasks to Prescribed Standards.

• Individual Responsibility

• Field Sales

• Candidates need to achieve the target for the month

• Incentive Allowed on Sales.

• Convenience Allowance Will Provide

• MBA Fresher can apply for this job role having excellent sales skills

• Candidates need to sales for Promotional products, Like- Advertisement Sales/ Digital Products

• Lead Generation

Skills:

• 8+ years of software development experience using traditional software development life cycle methodologies (covering requirements, design, development, testing and Implementation of n-tier architecture)
• Extensive experience with object-oriented software development methodologies and practices. Strong in following technologies
• OOAD/OOPS/UML, Design Patterns, MVC, Spring, Hibernate, Java, J2EE
• UI technologies AngularJS, HTML5, CSS3, java script library, Ajax and other UI frameworks
• Exposure to component model design, SOA, open sources framework/tools
• Web Services, JMS, XML, SQL& Oracle
• Must have exposed with Test Driven Development/Re-factoring ideas/ Domain driven design patterns/continuous integration/Build Automation / Data-Mapper framework/Mocks.

Good to Have: Microservices

Competencies:

• Experience in developing platforms or frameworks, components
• Excellent knowledge of the open source software/ tools/ technologies

Job Responsibilities:

• Create standard RESTful APIs
• Define API models
• Define Database models
• Communicate with other teams about breaking changes
• Maintain code quality
• Optimizing services for maximum performance

Requirements:  5+ years of work experience

• Advanced understanding of SQL ( NoSQL is a plus)
• Proficient understanding of Node.js
• Willingness to learn new ways of doing things
• Experience exposing functionality through RESTful APIs and GraphQL
• Perform performance tuning and query optimization using native SQL Server tools
• Ensure performance, security, and availability of databases
• Should be familiar with the AWS ecosystem and services
• Experience in deployment of scalable, low-latency, and highly available distributed systems
• Experience with Scrum/Agile development