Job Description

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