ML Engineer
We are looking for a ML Engineer with strong Python expertise and hands-on experience deploying ML models in cloud environments.
We specialize in building AI and data-driven solutions, helping organizations turn fragmented data into actionable insights and develop end-to-end ML/AI systems, automated pipelines, and analytics dashboards.
- Strong Python skills and experience with Jupyter/Colab. Knowledge of Scala is a plus.
- Experience with MLOps tools, including model versioning, deployment/orchestration, and monitoring solutions.
- Experience with cloud platforms, preferably AWS, including production ML model deployment.
- English proficiency at B2 level or higher.
- Experience applying AI/ML to real product tasks (NLP, LLM or generative models).
- Strong understanding of model inference, optimization techniques, and practical deployment.
- Ability to improve model efficiency (latency, throughput, caching, batching, compression, etc.).
Responsibilities:
- Designing and optimizing ML model development and deployment pipelines.
- Implementing CI/CD with GitHub Actions, including model testing and validation.
- Building ETL and training pipelines using CI/CD and Airflow.
- Monitoring and analyzing model performance using relevant monitoring tools.
- Full-time schedule aligned with Pacific Standard Time (PST, California working hours).
- Salary: 5000$ - 8000$ net
- Payment available in USDT.
If you meet the requirements and are interested, please apply.
Send your CV to: @rodrigo_work
