GeekyAnts Off Campus Drive 2026: GeekyAnts is hiring for the role of AI/ML Engineer – I. Candidates with B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc qualifications are eligible to apply for this role. Candidates looking for a job in Bangalore can utilize this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Interested candidates can apply here –> Valeo Careers

GeekyAnts Off Campus Drive 2026 – Details:

Job Role	AI/ML Engineer – I
Qualification	B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc
Experience	1 – 3 Years
Salary/CTC	Best in Industry
Job Location	Bangalore
Last Date	ASAP

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.