ENGINEER – Python

Job Description

Key Responsibilities

• Model Development & Training: Assist in developing, training, and validating ML/AI models. Experiment with algorithms for classification, regression, clustering, NLP, or CV. Perform hyperparameter tuning and evaluate model performance.
• Data Handling: Collect, clean, preprocess, and transform datasets. Work with structured/unstructured data (text, images, logs, etc.). Implement feature extraction and engineering.
• AI/ML Engineering: Support building model pipelines and MLOps workflows. Deploy models via APIs, containers, or cloud environments (Azure, AWS, GCP). Optimize models for performance, scalability, and cost.
• AI Application Development: Contribute to integrating AI models into applications or backend systems. Work with LLMs, embeddings, vector databases, or prompt engineering where applicable.
• Research & Prototyping: Explore new AI techniques, tools, frameworks. Build prototypes or proof-of-concept models. Document findings, experiments, and model metrics.

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