Marri Laxman Reddy Institute of Technology and Management (MLRITM) in Hyderabad has established a strong placement track record through its industry-aligned curriculum and proactive training initiatives. The institute's autonomous status since 2015 enables dynamic adaptation to technological shifts, while its 17-acre campus houses advanced labs and corporate-grade infrastructure that facilitate hands-on skill development. MLRITM's placement cell maintains robust industry partnerships, resulting in consistent recruitment across engineering and management disciplines. Below are key placement statistics:
MLRITM-Placement Overview
| Academic Year | Highest Package (LPA) | Lowest Package | Major Recruiters |
| 2023–2024 | 9.0 | 2.4 | TCS, Accenture, Tech Mahindra, Intellipaat |
Computer Science and Electronics graduates typically secure the highest packages, reflecting industry demand for software and hardware expertise. Mechanical and Civil engineering roles show stable recruitment, while MBA placements emphasize operations and analytics domains.
MLRITM-Skill Development Framework
The institute implements a four-tiered career readiness strategy:
- Technical Training - Advanced workshops on AI/ML, embedded systems, and structural modeling - Certification programs through industry collaborations (e.g., Microsoft, IBM)
- Corporate Interface - Annual technical symposiums with 50+ participating companies - Live projects solving real-world industry challenges
- Soft Skills Enhancement - Communication labs with VR-based mock interviews - Leadership workshops by HR veterans
Career Mentoring - Personalized roadmap sessions with alumni now at Fortune 500 firms - Entrepreneurship guidance for startup ventures
MLRITM-Industry Engagement
Recruiter diversity spans global IT services, core engineering, and emerging tech sectors:
- IT Services: TCS, Accenture, Tech Mahindra (primary roles: software development, testing)
- Product Firms: Intel, Qualcomm (embedded systems, VLSI roles)
- Core Engineering: L&T, Tata Projects (design and execution specialists)
- Analytics: EXL, LatentView (data engineering positions)
The placement cell coordinates year-round engagement through innovation challenges and pre-placement talks, ensuring sustained recruiter interest.
MLRITM-Emerging Opportunities
Recent placement trends indicate growing opportunities in:
- Renewable Energy: Roles in solar/wind project design
- EV Infrastructure: Battery systems and charging solutions engineering
- AI Governance: Ethical AI implementation frameworks
The institute addresses these through new coursework in sustainable engineering and AI ethics, with specialized recruitment drives planned for
Student Success Roadmap MLRITM's placement strategy emphasizes longitudinal development:
- First Year: Foundational coding and communication bootcamps
- Second Year: Domain-specific skill certification (e.g., AutoCAD, Python)
- Third Year: Industry internships with evaluation-linked pre-placement offers
- Final Year: Dedicated placement term with customized company preparation
This structured approach cultivates industry-ready professionals equipped to navigate evolving technological landscapes while maintaining the institute's 85% placement consistency over five years. MLRITM's placement ecosystem thrives on continuous industry-academia synergy, preparing graduates for both immediate employment and long-term career growth. The institute's investment in emerging technology labs and recruiter feedback mechanisms ensures alignment with future workforce requirements across engineering and management domains.
