Overview
We are seeking an exceptional L&D Leader/Technical Trainer to spearhead our high-impact, fee-based AI Accelerator Academy. This intensive program is designed to transform B.Tech/M.Tech final year students into entry-level AI/ML Engineers ready for industry contribution. The ideal candidate possesses deep technical expertise (B.Tech, M.Tech, MCA background) combined with proven success in designing and delivering career-focused training programs.
🔑 Key Responsibilities
- Strategic Curriculum Design & ROI Assurance
Conversion-Focused Curriculum:
Design, develop, and continuously iterate a rigorous, project-based curriculum that directly addresses the skill gaps between academic knowledge and the requirements for a successful internship and FTE conversion.
Industry Simulation:
Create training environments and capstone projects that
simulate real-world production constraints
(e.g., MLOps pipelines, latency issues, documentation standards), ensuring students are fully prepared for the internship phase.
Performance Benchmarking:
Establish and enforce clear, objective technical benchmarks and practical assessments that validate a student's readiness to progress from the training phase to the paid internship.
- Training Delivery & High-Stakes Mentorship
Expert Instruction:
Deliver high-quality, engaging training sessions on core AI/ML topics (Deep Learning, Python, specialized frameworks) with exceptional clarity and energy.
Value Communication:
Clearly articulate the value proposition of the fee-based program, ensuring students and stakeholders understand the high standards required for conversion.
Personalized Coaching:
Provide targeted technical and professional mentorship to maximize individual student performance and mitigate risks to their FTE conversion potential.
- End-to-End Program Management & Stakeholder Alignment
Internship Structure:
Collaborate with internal host teams (Business Units) to define structured internship projects and deliverables that serve as the final hiring assessment.
Liaison & Feedback Loop:
Serve as the primary link between the students, the internship supervisors, and HR, collecting continuous feedback to refine training materials and address performance issues swiftly.
Metrics Reporting:
Track, analyze, and report on key program metrics, including training completion rates, internship placement rates, and the ultimate
FTE conversion rate
, to senior leadership.
📚 Required Qualifications
Education:
M.Tech/MS or B.Tech/BE
(with significant post-degree experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related technical field (e.g., MCA with relevant specialization).
Experience:
Minimum
6+ years
of combined professional experience in:
Applied AI/ML Engineering
(developing and deploying models).
Technical Training or L&D Leadership
within a high-stakes, career-focused or corporate boot camp environment.
Technical Proficiency:
Expert knowledge of the entire modern AI stack:
Python
(NumPy, Pandas, Scikit-learn),
Deep Learning Frameworks
(PyTorch/TensorFlow), and practical experience with
MLOps and Cloud platforms
(AWS/Azure/GCP).
⭐ Desired Skills & Attributes
Proven track record of designing programs with
measurable career outcomes
(e.g., high placement/conversion rates).Exceptional ability to manage student expectations and communicate program rigor and value clearly.Strong project management skills to oversee the complex transition pipeline from training to employment.A fervent commitment to developing early career talent and ensuring their success.
