Consultant - AI Developer

1. AI Engineer (Mid-Level)

•Title: AI Engineer

•Level: Mid-Level

•Responsibilities:

oDesign, develop, and implement AI/ML models and algorithms.

oFocus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

oWrite clean, efficient, and well-documented code.

oCollaborate with data engineers to ensure data quality and availability for model training and evaluation.

oWork closely with senior team members to understand project requirements and contribute to technical solutions.

oTroubleshoot and debug AI/ML models and applications.

oStay up-to-date with the latest advancements in AI/ML.

oUtilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

oDevelop and deploy AI solutions on Google Cloud Platform (GCP).

oImplement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

oUtilize Vertex AI for model training, deployment, and management.

oIntegrate and leverage Google Gemini for specific AI functionalities.

•Qualifications:

oBachelor's degree in Computer Science, Artificial Intelligence, or a related field.

o3+ years of experience in developing and implementing AI/ML models.

oStrong programming skills in Python.

oExperience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

oGood understanding of machine learning concepts and techniques.

oAbility to work independently and as part of a team.

oStrong problem-solving skills.

oGood communication skills.

oExperience with Google Cloud Platform (GCP) is preferred.

oFamiliarity with Vertex AI is a plus.