Velo

Velo is hiring ML Engineer Interns to work on advanced AI agent systems, LLM pipelines, and video understanding models. This role focuses on real-world AI development with PPO opportunity.

Verified from company hiring details.

Job Snapshot

Key Responsibilities

• Build multi-agent AI systems for video understanding
• Work on LLM orchestration and pipelines
• Develop context-aware AI systems
• Design evaluation frameworks for AI outputs
• Improve model performance and reduce hallucination
• Work on temporal and multimodal AI systems

Required Skills

• Strong Python and ML fundamentals
• Experience with LLMs (RAG, prompting, chaining)
• Knowledge of LangChain / LlamaIndex
• Understanding of AI/ML concepts
• Strong problem-solving skills

Eligibility Checklist Before You Apply

• You meet the stated eligibility: CS / AI / ML / Data Science
• You have checked location and work type expectations.
• You have verified the official application link opens correctly.
• You are ready with updated resume, marksheets, and ID proof.
• You noted deadline and saved confirmation after applying.

Preparation Tips for Better Shortlisting

• Read the complete eligibility criteria for ML Engineer Intern – AI Agents before applying.
• Keep an updated resume in PDF format with role-relevant keywords.
• Apply early on the official portal to avoid last-day technical issues.
• Prepare 2-3 project explanations you can discuss in screening rounds.
• Never pay money to any third party for interview calls or job confirmation.

Who Should Apply

• Candidates who match this eligibility: CS / AI / ML / Data Science.
• Applicants comfortable with Bangalore, India and Internship (Conversion to Full Time).
• People who can complete the application carefully on the official portal with valid documents.

Who Should Skip

• Anyone not matching the required qualification or graduation year criteria.
• Candidates unwilling to relocate or follow the work schedule mentioned by the employer.
• Applicants planning to use unofficial agents or paid referral promises.

Selection Process (Typical Flow)

• Application review and profile shortlisting.
• Online assessment, technical task, or aptitude round (varies by employer).
• Technical/functional interview and final HR discussion.
• Offer release directly by the employer for selected candidates.

How to Apply Safely

Use only the official application link below. Do not share sensitive documents outside the employer portal. If any person asks for payment for selection, treat it as a scam and report immediately.