PURECODE SOFTWARE R&D INDIA PRIVATE LIMITED
Location
Hyderabad | India
Job description
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 to build 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. - This position is for exclusively in office work at our Q-City Office in Hyderabad. - 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!- Please review our site to understand our product offering before applyingResponsibilities :- 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 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.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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