Generative AI Engineer

Title:

Location:

Availability to Join:

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 3+ years 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.