ML/AI Engineer
Budget: $5,000 – $10,000 USD
We are looking for an ML/AI Engineer with strong Python skills and hands-on experience deploying machine learning models in cloud environments.
Requirements
Excellent proficiency in Python and experience with Jupyter/Colab.
Hands-on experience with MLOps tools: model versioning, deployment/orchestration, monitoring.
Experience with cloud platforms (preferably AWS) and deploying ML models into production.
English level: B2 or higher.
Nice to Have
Experience applying ML/AI to real product tasks (NLP, LLMs, generative models).
Strong understanding of model inference, optimization techniques, and production-level deployment.
Experience improving model efficiency: latency, throughput, caching, batching, compression, etc.
Responsibilities
Designing and optimizing ML model development and deployment pipelines.
Implementing CI/CD (GitHub Actions), including model testing and validation.
Building ETL and training pipelines using CI/CD and Airflow.
Monitoring and analyzing model performance using modern monitoring tools.
Requirements
Excellent proficiency in Python and experience with Jupyter/Colab.
Hands-on experience with MLOps tools: model versioning, deployment/orchestration, monitoring.
Experience with cloud platforms (preferably AWS) and deploying ML models into production.
English level: B2 or higher.
Nice to Have
Experience applying ML/AI to real product tasks (NLP, LLMs, generative models).
Strong understanding of model inference, optimization techniques, and production-level deployment.
Experience improving model efficiency: latency, throughput, caching, batching, compression, etc.
Responsibilities
Designing and optimizing ML model development and deployment pipelines.
Implementing CI/CD (GitHub Actions), including model testing and validation.
Building ETL and training pipelines using CI/CD and Airflow.
Monitoring and analyzing model performance using modern monitoring tools.