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