
AI/ML Intern
7 hours ago
At Techlusion, we don't just experiment with AI, we engineer the future with it. We're looking for AI/ML Interns who bring curiosity, skill, and hands-on experience to help build intelligent systems that go beyond prototypes and into real-world impact.
What You'll Be Doing
- Design, train, and optimize ML models for real-world use cases: prediction, recommendation, NLP, CV, or forecasting.
- Work on end-to-end AI pipelines: data ingestion, preprocessing, feature engineering, model training, and deployment.
- Experiment with emerging AI frameworks and contribute to internal AI tools and platforms.
- Collaborate closely with engineering teams to productionize AI models into live applications.
- Take part in hackathons, AI sprints, and rapid prototyping challenges to deliver solutions in record time.
- Research the latest advancements in AI/ML and propose experiments for Techlusion's innovation roadmap.
You Must Have
- Hands-on experience in at least one real-world AI/ML project (academic, internship, or open-source) with measurable outcomes.
- Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Understanding of ML fundamentals: data preprocessing, model evaluation, overfitting, hyperparameter tuning, and deployment basics.
- Exposure to data handling at scale (e.g., SQL, pandas, or big data pipelines).
- Demonstrated participation in AI/ML hackathons or competitive coding/ML challenges.
- Strong problem-solving ability and a passion for translating AI research into practical solutions.
Good to Have:
- Knowledge of MLOps tools (MLflow, Kubeflow, Vertex AI) or cloud ML platforms (AWS, GCP, Azure).
- Experience with NLP, computer vision, or time-series forecasting models.
- Familiarity with APIs, microservices, and containerization for AI deployment.
- Contributions to open-source ML projects or a strong GitHub portfolio.
- Basic understanding of model monitoring, CI/CD pipelines, and AI ethics.
Job Type: Internship
Contract length: 6 months
Pay: ₹3,000.00 per month
Work Location: In person
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