Responsibilities:
o Design, develop, and implement AI/ML models and algorithms.
o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
o Write clean, efficient, and well-documented code.
o Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
o Work closely with senior team members to understand project requirements and contribute to technical solutions.
o Troubleshoot and debug AI/ML models and applications.
o Stay up-to-date with the latest advancements in AI/ML.
o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.
o Develop and deploy AI solutions on Google Cloud Platform (GCP).
o Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
o Utilize Vertex AI for model training, deployment, and management.
o Integrate and leverage Google Gemini for specific AI functionalities.
Qualifications:
o Bachelor''s degree in Computer Science, Artificial Intelligence, or a related field.
o 1+ year of experience in developing and implementing AI/ML models.
o Strong programming skills in Python. o Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
o Good understanding of machine learning concepts and techniques.
o Ability to work independently and as part of a team.
o Strong problem-solving skills. o Good communication skills.
o Experience with Google Cloud Platform (GCP) is preferred.
o Familiarity with Vertex AI is a plus.

Keyskills: ai data preprocessing algorithms python google cloud platform machine learning frameworks numpy machine learning cloud platform artificial intelligence pandas cloud data quality tensorflow gcp pytorch feature engineering programming