Junior Software Engineer Intern

Location

Role Overview:

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 Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related fieldpreferably 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