Senior AI/ML Engineer

1 week ago

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

About PureCode AI :

PureCode is a cutting-edge front-end developer tool that empowers engineers to leverage text to describe and generate or customize software user interfaces - and soon entire projects. Our mission is to create a must-use developer tool for front-end engineers to build web software at an unprecedented pace.

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

Key Responsibilities :

- Design and implement advanced state-of-the-art AI models, specializing in LLMs, VLMs, and MLLMs.

- Develop ML models, fine-tune, and collaborate with stakeholders to finalize champion models.

Scientific Evaluation and Innovation :

- Perform in-depth scientific evaluation of NLP/LLM models, proposing new techniques for model validation, evaluation, trust, and safety.

- Map customer business needs to AI/ML problems and solutions involving algorithms/models.

ML Operations and Data Management :

- Develop MLOps workflows for data preparation, deployment, monitoring, and retraining.

- Create and own cloud-native APIs to deploy ML models.

- Craft data warehousing strategies and instrument ETL pipelines for maintaining high-quality data for model training.

Experimentation and A/B Testing :

- Design and implement A/B experiments - user segmentation, user classification, and tooling to support A/B experiments.

Qualifications :

- 3+ years of 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 the basic ML stack - PyTorch, TensorFlow, scikit-learn, 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.

- Hands-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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