PureCode AI

1 month ago

Bengaluru, India PURECODE SOFTWARE R&D INDIA PRIVATE LIMITED Full time

About PureCode AI :

PureCode is a front-end developer tool where engineers can use text to describe and generate or customize software user interfaces - (and soon entire projects). Our goal is tobuild a must use developer tool for front-end engineers to build web software 100x faster


We are headquartered in Austin, TX, USA with engineering offices in Hyderabad, India. Thisposition is for exclusively in office work at our Q-City Office in Hyderabad. Please review our site to understand our product offering before applying.

Responsibilities :

- Designing and implementing advanced state-of-the-art AI models, specialising in LLMs, VLMs and MLLMs.

- Develop ML models, fine tune and work with stakeholders in finalising champion models.


- Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety.

- 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 alongwith 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.

Qualifications :

- 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

(ref:hirist.tech)

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