ThoughtClan Recruitment Drive 2025 | Thoughtclan Hiring Software Engineer

www.djobbuzz.com 09 Jun 2025
Company Name
ThoughtClan
Company Website
http://thoughtclan.com
Job Role
Software Engineer
Job Type
  • Fresher
  • Experienced
Job Location
  • Bengaluru/Bangalore
Skills
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Java
  • Spring boot
  • Kubernetes
Education
  • BE/BTech
Branch
  • IT
  • CS
Batch
  • 2024 Batch
  • 2025 Batch
Job will expire on
08 Aug 2025

About Company

  • ThoughtClan is a niche Technology focused, 150 plus people strong, Software company that works on building complex Enterprise scale Web and Mobile oriented Digitalization and Data science related projects.
  • We are in IT Services as well as Product Development space.
  • We focus on applying technology to enable Business to function better.
  • ThoughtClan is a team of highly specialized technical folks and growing rapidly.
  • We have lots of experience and expertise in developing Digital Transformation projects related to
  • Data Science including Image Analytics, Video Analytics, Building AI/ML-based Prediction models, etc.
  • Blockchain-based Crypto Currency and NFT projects
  • Enterprise Scale, Green Field Web and Mobile Application Development, Integration, E-Commerce, Marketing, and Content Management projects.

Job Overview

  • Candidates will initially undergo basic training on different technologies to enable them to work on projects.
  • Post the training and confirmation, candidates will be assigned to projects where they are expected to do any one or more of the activities mentioned below:

Eligibility Criteria

  • 2024/2025 Batch BE/BTech (AI-ML/CS/IT/IS/ECE)
  • Good academics
  • Good pH score

Job Description

  • Model Development & Optimization: Design, train, evaluate, and fine-tune machine learning models to solve business problems.
  • Experimentation & Feature Engineering: Develop and test features, optimize hyperparameters, and enhance model performance using scalable solutions.
  • Data Engineering Collaboration: Work alongside data engineers to streamline data pipelines, ensuring high-quality data for training and inference.
  • End-to-End ML Lifecycle Management: Deploy, monitor, and continuously improve ML models in production environments.
  • MLOps Pipeline Development: Automate CI/CD pipelines for ML workflows, enabling efficient model training, testing, and deployment.
  • Image and Video Analytics Product Development using Python, TensorFlow and related libraries
  • Back End Development using Java, Spring Boot, MicroServices, Kubernetes, Jenkins.
  • Cloud-based development using AWS, Azure, and GCP.