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.
