Location: Full onsite in Bangalore, India

Role Overview:

We are actively seeking full-time interns from top-tier colleges to work with us for 1 year on cutting-edge Generative AI and Machine Learning problems. This internship offers a unique opportunity to gain hands-on experience in building and deploying AI-driven solutions across industries like financial services, telecommunications, and retail. 

Key Responsibilities 

• Work on state-of-the-art Generative AI and ML models, contributing to real-world applications. 

• Develop and deploy machine learning models for use cases like customer segmentation, recommendation systems, anomaly detection, and predictive analytics. 

• Utilize Python and popular ML frameworks such as scikit-learn, TensorFlow, PyTorch, and XGBoost. 

• Assist in data preprocessing, cleaning, and exploratory data analysis to extract insights. 

• Implement MLOps best practices, ensuring robust model evaluation, versioning, and deployment. 

• Maintain high-quality code, documentation, and testing standards for scalable AI solutions. 

• Contribute to the development of reusable AI/ML assets for different customer engagements. 

Requirements

• We are looking for fresh graduates or students in their final semester (awaiting graduation) with a Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field—preferably from a top-tier college such as the IITs.

• Fresh graduates and candidates with up to 1 year of experience are encouraged to apply.
• Strong proficiency in Python and experience with data analysis libraries. 

• Good understanding of machine learning algorithms and their practical applications. 

• Familiarity with SQL and basic database concepts. 

• Strong analytical, problem-solving, and communication skills. 

Preferred Skills 

• Experience or coursework in Generative AI (GANs, Transformers, Diffusion Models, LLMs, etc.). 

• Exposure to cloud platforms like AWS, Databricks, or Google Cloud. 

• Familiarity with Big Data technologies (Kafka, Spark, Flink, etc.). 

• Understanding of MLOps principles, model deployment, and distributed ML techniques. 

• Previous internship or project experience in AI/ML, data science, or analytics. 

Benefits

What We Offer  

• An opportunity to be part of an agile, highly proficient and experienced AI/ML team 

• An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action 

• A fast-paced software development environment that uses the latest open-source tools across the development stack