Job Description: Machine Learning Engineer
Location: Fully Remote
Company: Mechanized AI
About Us:
Mechanized AI is at the forefront of AI innovation, leveraging advanced technologies to solve complex real-world problems. We are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. As a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.
Key Responsibilities:
le: AI/ML Engineer
Location: Remote/Onsite (Specify if applicable)
Start Date: Ideally within 2 weeks
Experience Requirements:
- 4+ years in Machine Learning/Deep Learning/Generative AI (Experience in enterprise companies or startups; teaching or academic experience like Masters/PhD does not count)
- 1+ year experience with TensorFlow, PyTorch, or Keras
- 1+ year experience in deploying models to production and managing/monitoring them
- 1+ year with cloud platforms (AWS/GCP/Azure)
- 1+ year in MLOps
- 1+ year client-facing experience in AI projects
- 6+ months experience with Large Language Models (LLMs) and Generative AI
Skills & Expertise:
- Strong focus on at least one of the following AI specialities:
- MLOps
- Classic ML (tabular, regression)
- Classic DL (Computer Vision, NLP, tabular, regression)
- Generative AI
- Deep Reinforcement Learning (DRL)
- Full-stack ML
- Familiarity with Prompt Engineering: Approaches and best practices
- Experience with the following tools and techniques is highly desired:
- PySpark
- Agent development
- Fine-tuning LLMs
- Retrieval-Augmented Generation (RAG) optimization
- Vector Databases
- LLM Architecture & techniques for performance
- Model quantization
- Data privacy and security (e.g., adversarial attacks, red teaming, integrity)
Additional Responsibilities:
- Evaluate ML/DL/LLM models
- Detect and handle model decay & data drift