Senior Artificial Intelligence/Machine Learning Engineer

Years of experience needed : 7 to 12 Yrs.

Technical Skills :

- Strong proficiency in Python and ML algorithms (e.g., Decision Trees, SVM, LSTM, RNN).

- Experience with Vertex AI, Google Agent Space, and Databricks.

- Familiarity with MLOps tools like Langchain, Llama Index, and Ragas.

- Experience with GCP cloud platforms and their data services.

Key Responsibilities :

Vertex AI & Google Agent Space :

- Implement MLOps workflows for model training, versioning, and monitoring.

- Ensure compliance with Googles data governance and protection standards

Python Development :

- Apply deep learning frameworks such as TensorFlow, PyTorch, or Keras.

- Develop and optimize application logic for generative AI models like GPT, BERT, etc.

Databricks (Nice to have) :

- Perform data ingestion, transformation, and analytics using Spark and Delta Lake.

- Complete and apply learnings from Databricks Data Engineer Learning Plan

Collaboration & Leadership :

- Mentor junior developers and contribute to best practices in AI/ML development.

- Communicate technical concepts effectively to non-technical audiences.