Python Developer

About the Role

We are seeking motivated DevOps Interns to join our team remotely for a 3-month internship. This internship provides hands-on experience with cloud platforms, CI/CD pipelines, and automation tools. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Assist in setting up and managing CI/CD pipelines.
• Work with cloud infrastructure (AWS, Azure, or Google Cloud).
• Support deployment, monitoring, and scaling of applications.
• Automate routine operational tasks using scripts and tools.
• Collaborate with developers to improve build and release processes.
• Help maintain system reliability, security, and performance.
• Document workflows, configurations, and best practices.

Requirements

• Basic understanding of Linux/Unix systems and shell scripting.
• Familiarity with version control (Git/GitHub).
• Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar).
• Exposure to containerization tools like Docker (Kubernetes knowledge is a plus).
• Understanding of cloud services (AWS, Azure, or GCP preferred).
• Problem-solving skills and willingness to learn quickly.
• Ability to work independently in a remote setup.

What You’ll Gain

• Real-world exposure to DevOps tools and workflows.
• Mentorship and guidance from experienced engineers.
• Completion Certificate after the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your resume and portfolio.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

• Strong UX-focused Product Design Profile
• Mandatory (Experience 1) – Must have 8+ YOE in Product Design, with a focus on UX Research, Designs and Design Operations, primarily in the B2B domain
• Mandatory (Experience 2) - Must have strong experience with Large-scale B2B Enterprise products, and should be leading multiple verticals in the ERP products
• Mandatory (Experience 3) – Must have strong experience in Project Management and Design operations - Like leading Design sprints, team task allocation, delivery planning and estimation
• Mandatory (Designation) – Must be Manager / Staff or above designation in Current role
• Mandatory (Team Managememt) - Must have atleast recent 2+ YOE as a Team Manager (Not mentoring, should be in a complete Manager role)
• Mandatory (Portfolio) - Must have strong B2B Products Case Studies for Complex B2B Enterprise level applications, with multiple connected modules (Dont want just simple UI screens in portfolio)
• Mandatory (Company) - Large-Scale B2B SaaS / Enterprise-level Products

Preferred

• Preferred (Experience) - Automotive, Retail or Dealerships domain experience

Job Description: Salesforce Intern

Company: SmartBridge Educational Services Pvt. Ltd.

Job Type: Internship

Location: Hyderabad / Noida.

Duration: 3–6 Months

Role Overview

We are seeking enthusiastic and motivated Salesforce Interns who are passionate about building a career in the Salesforce ecosystem. This internship program is designed to provide structured learning, hands-on development experience, and real-time project exposure under expert mentorship, preparing candidates for entry-level Salesforce Developer roles.

Key Responsibilities

1. Participate in structured training sessions on Salesforce fundamentals, including Apex, Lightning Web Components (LWC), and SOQL.

2. Complete assigned learning modules, exercises, and Trailhead tasks to build core platform knowledge.

3. Assist in developing and customizing Salesforce applications using Apex, Triggers, LWC, and automation tools.

4. Support real-time project implementations and contribute to business use cases under guidance.

5. Work on mini-projects and capstone projects, translating basic business requirements into technical solutions.

6. Debug, test, and troubleshoot application issues to ensure functional and optimized solutions.

7. Collaborate with trainers, mentors, and peers; actively participate in code reviews and knowledge-sharing sessions.

8. Complete regular assessments and coding challenges, demonstrating continuous progress through deliverables.

9. Possess a basic understanding of programming (Java/OOP), web technologies (HTML, CSS, JavaScript), and databases (SQL).

10. Demonstrate strong learning ability, communication skills, problem-solving mindset, and the ability to work effectively in a team environment.

What You Will Gain

• Hands-on experience with Salesforce development tools and technologies

• Exposure to real-world project scenarios and use cases

• Mentorship from experienced industry professionals

• Preparation for Salesforce Developer roles and certifications

BDA and BDE

ROLES

We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly. 

Job Location: Work from home

Selection process: HR Round followed by group discussion and sales manager round.

Qualification: Any Graduate/Post Graduate

Salary offered: As per industry standards

Working days: 6 days          Sunday is off

Shifts:10:00am -7:00pm

Mandatory language: English 

Laptop/wi-fi: candidates are to use their own laptops,

Addititional Compensation: If applicable, this will be decided on the basis of your designation.

1. Working on MERN stack product development for core product
2. Exploring possibilities with proof of concepts & prototyping
3. Building the product as per specifications 
4. Developing the user-facing features using React.js
5. Designing a modern highly responsive web-based user interface 
6. Building reusable components and front-end libraries for future use
7. Translating designs and wireframes into high-quality code
8. Learn and understand user interactions
9. Optimising components for maximum performance across a vast array of web-capable devices and browsers 
10. Coordinating with various teams working on distinct layers
11. As a React.js Developer, you will be involved from conception to completion with projects that are technologically sound and aesthetically impressive. 

1. Node.js & ReactJS/Next.js ( MEAN/MERN Stack)
2. Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
3. Thorough understanding of React.js and its core principles
4. Prior experience with popular React.js workflows (such as Flux or Redux)
5. Familiarity with more current specifications of EcmaScript
6. Familiarity with RESTful APIs
7. Great CSS skills. Familiarity with React Styled Components, SCSS, LESS, etc.
8. Knowledge of modern authorisation mechanisms, such as JSON Web Token
9. Familiarity with modern front-end build pipelines and tools
10. Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
11. Ability to understand business requirements and translate them into technical requirements
12. A knack for benchmarking and optimisation.
13. Familiarity with code versioning tools
14. Familiarity with Test Driven Development and tools like JEST & React Testing Library is a plus.
15. Familiarity with Firebase and other backend as a services is a plus.

Qualifications

• 3+ years of experience in development using Python OR Node.js
• Experience with React.js

• Previous experience with Shopify customization is desirable
• Bachelor’s degree in computer science or related field