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.
Skills
Python, Deep Learning, NLP, Computer Vision, Data Structure and Algorithms, Linux OS, AWS, Python‑Langchain.
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