Trainee Developer

1. AI Engineer (Mid-Level) • Title: AI Engineer • Level: Mid-Level • 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.