Machine Learning Engineer
2 weeks ago
Hyderabad, WFO
About PureCode:
- Develop ML models, fine tune and work with stakeholders in finalising champion models.
- Understand how customer business needs are mapped to AI/ML problem and solution involving Algorithms/Models.
- Support the process of Translating business problems into ML problems and create ML solutions to produce desired customer business outcomes.
- Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML Models
- Craft data warehousing strategy along with instrumenting ETL pipelines for maintaining quality data to be used for Model Training.
- Design and implement A/B experiments - user segmentation, user classification, and tooling to support A/B experiments.
- 3+ years of working experience developing, deploying, tracking and orchestrating scalable ML/AI solutions.
- Familiarity with cloud platforms and services such as AWS, Azure, or GCP for deploying and scaling AI solutions.
- Knowledge of basic ML stack - Pytorch, tensorflow, sklearn, numpy, pandas, etc.
- Familiarity with experiment tracking tools like Weights & Biases, TensorBoard, or ClearML.
- Hands on experience with MLOps tools like Mlflow, CometML, Docker, etc.
- Hand on experience with workflow orchestration tools like Airflow, Prefect, or Databricks, etc.
- Knowledge of API frameworks Django, Flask etc.
- Knowledge of web development tools is a plus.
- Knowledge of LLMops, langchain framework is a plus
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