Junior Data Science Engineer

Experience :
1 to 2 years

Required Skills :

• Strong foundation in statistics, probability, and machine learning
• Solid understanding of unsupervised learning algorithms and their use cases
• Hands-on experience with clustering, anomaly detection, or dimensionality reduction
• Basic familiarity with LLMs and prompt engineering
• Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow
• Familiarity with building prototypes using Jupyter, Streamlit, or similar
• Growth mindset and a passion for experimentation and rapid learning

Nice to Have :

• Exposure to AI agent frameworks (LangChain, AutoGen, CrewAI, etc.)
• Experience with API design or integration
• Familiarity with cloud platforms (AWS/GCP/Azure)
• Background in NLP, graph analysis, or time-series clustering

Responsibilities :

• Prototype AI agents using LLMs (e.g., OpenAI, Claude, Mistral, etc.)
• Explore and apply clustering and unsupervised learning methods (e.g., k-means, DBSCAN, topic modeling, dimensionality reduction)
• Develop proof-of-concept solutions and experiment with ideas across different domains
• Collaborate with cross-functional teams, including ML engineers, product managers, and senior data scientists
• Analyze structured and unstructured data from various sources (APIs, databases, logs, documents, etc.)
• Continuously learn, test, and apply new advancements in the AI/ML space

About the Role :

We are looking for sharp, curious, and motivated junior data science engineers to join our innovation-driven team. In this role, you will work alongside experienced engineers, data scientists, and product teams to prototype cutting-edge solutions involving AI agents, large language models (LLMs), and unsupervised learning techniques.
You will be exposed to end-to-end solution building — from hypothesis to prototype to pilot —in a collaborative, fast-paced environment where ideas move quickly from whiteboard to working system.