Location: Pune (Onsite) Experience: 0–1 Years (Freshers Welcome) Employment Type: Internship / Full-Time (based on performance)
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We foster a culture of innovation, collaboration, and growth, where early-career engineers get hands-on experience, mentorship, and opportunities to learn cutting-edge technologies.
Role Overview
We are looking for a motivated and detail-oriented fresher or intern to join our Systems Engineering team. You will assist in defining system requirements, supporting documentation, and contributing to testing and validation of integrated systems, including AI and computer vision-based solutions.
This role is ideal for candidates looking to build a strong foundation in systems engineering, AI integration, and cross-functional collaboration.
Key Responsibilities
Assist in documenting system-level requirements under guidance from senior engineers
Support preparation of system architecture diagrams and interface documentation
Help maintain basic requirement tracking and traceability (e.g., spreadsheets, tools)
Participate in defining:
Customer and system requirements
Interface requirements (hardware & software)
Basic AI/ML model requirements (accuracy, performance)
Support testing and validation activities, including executing test cases
Help in preparing test reports and documentation
Assist in identifying basic risks and maintaining documentation for risk tracking
Collaborate with software, hardware, and AI/ML teams to understand system workflows
Support integration of AI models into systems (basic exposure to pipelines)
Participate in team discussions and brainstorming sessions
Required Skills & Qualifications
Bachelor’s degree (or pursuing final year) in:
Computer Science / IT / Electronics / Electrical / Mechatronics or related field
Basic understanding of:
Software systems and system design concepts
Programming fundamentals (Python preferred)
Familiarity with:
Data structures, APIs, or system workflows
Basic AI/ML or computer vision concepts (academic exposure is enough)
Strong willingness to learn and adapt in a fast-paced environment
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