GeekyAnts Off Campus Drive 2026: AI/ML Engineer – I

GeekyAnts Off Campus Drive 2026 – Details:

Detailed Eligibility:

AI/ML Engineer – I:

• Bachelor’s or Master’s in Computer Science, Data Science, or related fields.
• Experience: 1 – 3 Years

Good-to-Have Skills

• Knowledge of vector DBs (pgvector/Pinecone) and embedding generation.
• Exposure to LangGraph, CrewAI or any agentic framework.
• Interest in chatbot and document AI use cases.

Soft Skills

• Eager learner with an ownership mindset.
• Ability to work closely with mentors and cross-functional teams.
• Curiosity about the AI ecosystem and open-source projects.

Core Skills Required

• Python (Proficient) – clean code and modular architecture.
• Frameworks: FastAPI or Flask, basic PyTorch/TensorFlow exposure.
• Data: Pandas, NumPy, SQL basics.
• AI Tools: Any of the cloud AI APIs (OpenAI, Groq, Gemini, Cluade), LangChain, LlamaIndex (basic usage).
• Containerization: Docker awareness.

Key Responsibilities

• Build Python-based microservices using FastAPI or Flask for AI feature integration.
• Integrate cloud AI APIs (OpenAI, Gemini, Anthropic) and implement embeddings or chat workflows.
• Develop simple data cleaning and feature-engineering scripts using Pandas and NumPy.
• Work with vector databases (pgvector, Pinecone, FOSS) for search and retrieval tasks.
• Assist in model evaluation, basic prompt design, and embedding pipeline validation.
• Collaborate with senior engineers to deploy and test inference endpoints in Dockerized environments.

Job Description: We’re looking for an entry-level AI/ML Engineer with strong Python and API fundamentals who can support the design and integration of AI-powered systems. You’ll build APIs, connect to AI tools (OpenAI, Hugging Face, LangChain), and contribute to pipelines that bring intelligence into real-world applications.

• Bachelor’s or Master’s in Computer Science, Data Science, or related fields.
• Experience: 1 – 3 Years