Experience: 5+ years
Availability: Full-time, 40 hrs/week
Compensation: $2,500–$5,000 USD/month
Location: Remote
About the Role
We are looking for an experienced AI/ML Engineer to build, deploy, and maintain production machine-learning systems. The ideal candidate has strong Python and ML fundamentals and hands-on experience with modern AI, cloud infrastructure, and MLOps.
Responsibilities
- Build and deploy production AI/ML applications.
- Develop model training, evaluation, and inference pipelines.
- Work with LLMs, generative AI, RAG, embeddings, and AI agents.
- Deploy ML services using cloud and containerized infrastructure.
- Improve model performance, reliability, and inference efficiency.
- Build monitoring and MLOps workflows.
- Collaborate with engineering and data teams.
Requirements
- 5+ years of professional AI/ML or ML engineering experience.
- Strong Python and machine-learning fundamentals.
- Production experience with PyTorch, TensorFlow, or JAX.
- Experience deploying ML models and services.
- Experience with LLMs, generative AI, or deep learning.
- Experience with AWS, GCP, or Azure.
- Experience with Docker, Kubernetes, or similar infrastructure.
- Strong SQL and data-processing skills.
- Strong English communication skills.
Preferred Skills
- Hugging Face
- RAG and vector databases
- Embeddings and AI agents
- GPU/CUDA
- MLflow or Weights & Biases
- Airflow
- Spark/PySpark
- CI/CD and MLOps
What We Offer
- Fully remote work
- Full-time engagement
- Flexible remote working environment
- $2,500–$5,000 USD/month
- Opportunity to work on production AI/ML systems
Please apply with your resume/profile and a brief description of your most relevant production AI/ML project.