Role Overview

We are seeking accomplished AI/ML Professionals with 3-6 years of corporate software industry experience to join our mission as an Industry Mentor. This is a crucial role for individuals passionate about shaping the next generation of talent by guiding student cohorts through live, industry-standard Artificial Intelligence and Machine Learning projects. You will act as a subject matter expert and coach, ensuring students master technical skills in a workplace way of working.

Key Responsibilities

You will operate within TrooperCruit's Agile framework system in the Campus as a Workplace model, focusing on the practical application of AI/ML concepts.

1. Technical Mentorship & Guidance

Project Supervision: Supervise 12-member student cohorts on real-time AI/ML R&D problem statements provided by corporate partners (e.g., NLP systems, Computer Vision applications, Predictive Modeling).
Workflow Coaching: Coach students on the end-to-end product development lifecycle for AI/ML solutions, including data acquisition/cleaning, model design, training, optimization, and production deployment (MLOps).
Tech Stack Expertise: Provide deep technical guidance in core AI/ML technologies:
Languages: Python, R.
Frameworks: TensorFlow, PyTorch, Scikit-learn.
Cloud: AWS/Azure/GCP ML services.
Concepts: Deep Learning (LLMs, GenAI), Reinforcement Learning, Data Engineering principles.
Quality Assurance: Conduct code reviews, architecture critiques, and model validation to ensure projects meet industry standards for scalability, performance, and ethical AI/ML practices.

2. Integrated Learning & Agile Culture

Agile Integration: Work closely with the Junior Scrum Master to embed the Agile demands of the industrial world, ensuring AI/ML tasks are effectively defined, estimated, and executed within Sprint cycles.
Professional Competency: Guide students on the non-technical but critical aspects of corporate work, including:
Team Collaboration and effective communication within cross-functional teams.
Workload Distribution and navigating project ambiguity.
Workplace Etiquette and the process of giving/receiving professional feedback.
Mindset Shift: Actively cultivate the Job-Creator Mindset, encouraging students to move beyond theoretical knowledge toward innovation, ownership, and entrepreneurial problem-solving.

3. Operational Oversight & Stakeholder Reporting

Curriculum Feedback: Provide continuous feedback to TrooperCruit on the effectiveness of the Integrated Workplace Learning Model and suggest adjustments to keep the AI/ML curriculum aligned with rapidly evolving technological advancements.
Reporting: Communicate project status, technical challenges, and student performance metrics to TrooperCruit and corporate stakeholders.
Batch Supervision: For Full-Time Mentors, take ownership of the overall performance and professional development of assigned student batches, including managing their performance evaluations.

Required Skills & Qualifications

Experience:3 to 6 years of hands-on, professional experience in an AI/ML Engineer, Data Scientist, or Applied Research role within a corporate software environment.
Technical Proficiency: Demonstrated expertise in designing, building, and deploying Machine Learning models into production environments. Practical experience with Generative AI (LLMs, RAG) is highly desirable.
Coaching Aptitude: Proven ability or strong desire to teach, mentor, and simplify complex technical concepts for early-career professionals or students.
Industry Process Knowledge: Practical experience working in an Agile (Scrum/Kanban) development environment.
Soft Skills: High level of emotional intelligence, patience, strong presentation skills, and the ability to inspire and motivate diverse teams.
Education: B.Tech/M.Tech/M.S. in Computer Science, Data Science, or a related field.

Why Partner with TrooperCruit

Part-Time Flexibility: Maintain your corporate career while making a significant, tangible impact on talent development (ideal for individuals seeking career enrichment).
Impact: Directly contribute to solving the persistent disconnect between academic theory and industry application.
Innovation: Work at the intersection of education, technology, and entrepreneurship in a unique co-creation organizational entity.

AI/ML Engineer & Architect

AI/ML Engineer

AI/ML Engineer

AI / ML Engineer ( Python, PyTorch, TensorFlow, YOLO )

AI/ML Engineer- Software Industry Expertise (for part time mentoring)