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Full Stack Engineer
Full Stack Engineer
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Full Stack Engineer

Shruthi BT's profile picture
Posted by Shruthi BT
6 - 8 yrs
₹15L - ₹20L / yr
Bengaluru (Bangalore)
Skills
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
skill iconPython
skill iconAngular (2+)

Full Stack Engineer


Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.


Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About CGI Inc

Founded :
1976
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

We work side-by-side with clients to help maximize the technologies that transform their business. Our 77,000 professionals serve as trusted, innovative experts to support their digital journeys.
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Connect with the team

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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
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  • 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
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✅ 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
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2) If you think writing tests for your code, writing docs, doing customer support etc are not your cup of tea, this isn't the right role for you.
3) Similarly if you're viewing this just as a 20-40% increment opportunity over your current compensation, this isn't the right role or company for you.

This role can be the growth opportunity of a lifetime for anyone who has been operating as a backend lead and wants to grow into a full stack
Check out the links below if you'd like to learn more about us. We encourage people from underrepresented groups to apply.

1) Why ShoppinPal? - https://www.youtube.com/watch?v=cE7DgtwA0ws
2) Our hiring philosophy and process http://techstory.in/building-startup-team/
Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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