Role Description
**Job Description**
AI Engineer Career Coach
**Company:**
OPTWISE CONSULTING LLC
**Location:**
New York, NY (Remote)
**Pay:**
$40 - $50/hr
**Type:**
Part-time
**Posted:**
13 hours ago
**Job Description**
We are seeking an experienced
**AI Engineer Coach**
to guide students and early-career professionals in successfully transitioning into AI Engineering roles. The coach will provide structured mentorship on technical skill development, project building, resume positioning, interview preparation, and industry navigation within AI/ML fields.
This role combines technical expertise with career strategy and mentorship capabilities.
Key Responsibilities
* Technical Skill Coaching
+ Guide students through core AI/ML knowledge:
- Machine Learning (Supervised/Unsupervised Learning)
- Deep Learning (CNNs, RNNs, Transformers)
- NLP / LLM applications
- Computer Vision (if applicable)
+ Support hands-on learning in:
- Python
- PyTorch / TensorFlow
- Scikit-learn
- SQL
- Model deployment (FastAPI, Flask, Docker, AWS/GCP/Azure)
+ Provide structured roadmap from beginner to job-ready AI Engineer
* Project \& Portfolio Development
+ Help students design real-world, job-relevant AI projects
+ Guide end-to-end model lifecycle:
- Problem framing
- Data preprocessing
- Model training \& evaluation
- Deployment
+ Ensure GitHub portfolio meets recruiter standards
+ Train students on technical storytelling for projects
* Resume \& Positioning Strategy
+ Optimize resumes for AI Engineer roles
+ Translate academic/research experience into industry impact
+ Align student profiles with:
- AI Engineer
- ML Engineer
- Applied Scientist
- GenAI Engineer
+ Improve LinkedIn positioning
* Interview Preparation
+ Conduct mock technical interviews:
- ML fundamentals
- Coding (Python, LeetCode medium level)
- System design for ML
- Model debugging \& case studies
+ Prepare students for:
- Behavioral interviews
- Technical deep dives
- Take-home assignments
+ Train whiteboarding and explanation clarity
* Career Strategy \& Industry Insights
+ Guide students on:
- Internship vs full-time pathways
- Startup vs Big Tech AI roles
- H1B-friendly employers (if applicable)
+ Share current industry trends:
- LLM integration
- AI agents
- MLOps
- Production AI systems
**Qualifications**
**Required:**
* 3\+ years experience as:
+ AI Engineer / ML Engineer / Applied Scientist
* Strong foundation in:
+ Machine Learning algorithms
+ Deep Learning frameworks
+ Data structures \& algorithms
* Experience building and deploying production ML systems
* Strong communication and mentoring ability
**Preferred**
* Experience in Big Tech / AI startup
* Interview experience (as interviewer or candidate)
* Experience coaching or mentoring students
* Familiar with US AI job market trends
Core Competencies
* Technical depth \+ practical application
* Ability to simplify complex AI concepts
* Structured teaching mindset
* Resume optimization expertise
* Strong feedback delivery
* Industry awareness
Performance Metrics (KPIs)
* Student job placement rate
* Interview conversion rate
* Portfolio quality improvement
* Student satisfaction \& retention
* Offer salary outcomes