Description

You will design and implement AI/ML models, including generative LLMs and traditional approaches, to solve business problems.

This role is on-site.

Responsibilities

• Select appropriate algorithms and architectures based on data characteristics and performance needs.
• Conduct feature engineering, hyperparameter tuning, and model validation to optimize performance.
• Integrate models into production environments by collaborating with cross-functional teams.
• Monitor, maintain, and retrain models to ensure continued accuracy and compliance.

Required Skills

• 7+ years of professional experience in data engineering or related fields.
• Proficiency in Python and TypeScript.
• Experience designing and implementing ML models, including Gen AI.
• Familiarity with ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with model evaluation using statistical metrics.
• Knowledge of generative architectures like transformers and graph neural networks.
• Experience with MLOps tooling such as MLflow or Kubeflow.

Key Skills

Education

Any Gradute