Years of experience needed : 7 to 12 Yrs.
Technical Skills :
- 7 to 12 years of experience in AI / ML development and data engineering.
- 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 AI & Google Agent Space :
Design and deploy ML models using Vertex AI SDKs including Gemini, Embedding Models, and Document AI.Implement MLOps workflows for model training, versioning, and monitoring.Ensure compliance with Googles data governance and protection Development :Build robust data pipelines and AI applications using Python.Apply deep learning frameworks such as TensorFlow, PyTorch, or Keras.Develop and optimize application logic for generative AI models like GPT, BERT, (Nice to have) :Architect and manage scalable data solutions using Databricks.Perform data ingestion, transformation, and analytics using Spark and Delta Lake.Complete and apply learnings from Databricks Data Engineer Learning & Leadership :Work closely with cross-functional teams including data scientists, cloud engineers, and business stakeholders.Mentor junior developers and contribute to best practices in AI / ML development.Communicate technical concepts effectively to non-technical audiences.(ref : hirist.tech)