AI Engineer - Python

<p><p><b>Job Title : </b> AI Engineer<br/><br/><b>Location : </b> Hyderabad & Chennai<br/><br/><b>Working Hours : </b> 01 : 00 to 10 : 00 PM IST (Candidates must go to office, 4 Times in a Month)<br/><br/><b>Budget : </b> 3-6 Years-18LPA , 7+ Years- 31 LPA<br/><br/>Permanent Hiring<br/><br/>Integrate and leverage Google Gemini for specific AI :</b></p><p><p><b><br/></b></p>- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.<br/><br/></p><p>- 3+ years of experience in developing and implementing AI/ML models.<br/><br/></p><p>- Strong programming skills in Python.<br/><br/></p><p>- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.<br/><br/></p><p>- Good understanding of machine learning concepts and techniques.<br/><br/></p><p>- Ability to work independently and as part of a team.<br/><br/></p><p>- Strong problem-solving skills.<br/><br/></p><p>- Good communication skills.<br/><br/></p><p>- Experience with Google Cloud Platform (GCP) is preferred.<br/><br/></p><p>- Familiarity with Vertex AI is a plus<br/><br/><b>Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and implement AI/ML models and algorithms.<br/><br/></p><p>- Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.<br/><br/></p><p>- Write clean, efficient, and well-documented code.<br/><br/></p><p>- Collaborate with data engineers to ensure data quality and availability for model training and evaluation.<br/><br/></p><p>- Work closely with senior team members to understand project requirements and contribute to technical solutions.<br/><br/></p><p>- Troubleshoot and debug AI/ML models and applications.<br/><br/></p><p>- Stay up-to-date with the latest advancements in AI/ML.<br/><br/></p><p>- Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.<br/><br/></p><p>- Develop and deploy AI solutions on Google Cloud Platform (GCP).<br/><br/></p><p>- Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.<br/><br/></p><p>- Utilize Vertex AI for model training, deployment, and management.<br/></p><br/></p> (ref:hirist.tech)