Machine Learning Intern
#Hiring #2026batch
🚨 We’re Hiring | Machine Learning Intern
Chennai | 3–6 Months | Hands-On Edge Deployment
Join our innovative team in Chennai and deploy cutting-edge AI models on resource-constrained edge devices!
We're seeking a motivated Machine Learning Intern to build efficient, low-latency AI solutions for IoT hardware and embedded systems. Perfect for students or recent grads passionate about real-world AI that runs anywhere from smart sensors to autonomous devices.
🔑 Key Responsibilities
✔️ Design, develop, and optimize ML models for edge deployment
✔️ Convert models using TensorFlow Lite, ONNX, and similar frameworks
✔️ Apply compression techniques like quantization and pruning
✔️ Collaborate with hardware/software teams for seamless integration
✔️ Analyze performance (latency, memory, power) and boost efficiency
✔️ Handle data preprocessing, feature engineering, and model evaluation
✔️ Document experiments and workflows
📋 Required Qualifications
☑️ Recently completed degree in Computer Science, Electronics, AI, or a related field
☑️ ML knowledge (algorithms, concepts)
☑️ Python proficiency + TensorFlow, PyTorch, or Scikit-learn
☑️ Solid grasp of linear algebra, probability, stats
☑️ Problem-solving mindset and eagerness to learn
🎯 What You’ll Gain
⚒️ Real-world edge ML deployment experience
⚒️ Optimization under hardware constraints
⚒️ Mentorship from seasoned engineers
⚒️ Contribute to production AI projects
If you're in Chennai and excited about AI, apply now! Share your resume to [contact shared on WhatsApp]. Let's build the future of intelligent devices together.
#EdgeAI #MachineLearning #Internship #ChennaiJobs #AI #ML #EmbeddedSystems #Hiring
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Interview advice
Going for the Data Scientist role at e-con Systems? A few things that help freshers walk in prepared:
- Be ready to explain one model you built in plain English — the problem, why you chose that approach, and how you knew it worked.
- Send a short thank-you message within a day that refers to something specific you discussed — most freshers skip this, and it is remembered.
- Spend 30 to 60 minutes beforehand on the company's site, recent news and LinkedIn, so you can name one specific reason you want to join when they ask.
- Re-read the job description and prepare two projects or coursework examples that map directly to what it asks for.
- Rehearse "tell me about yourself" out loud in about 60 seconds — education, one standout achievement, why this role — instead of reciting your CV top to bottom.