Artificial Intelligence/Machine Learning Engineer - Python

<p><p><b>Job Description : </b></p><p><br/></p><p>- Design, develop, and implement AI/ML models and algorithms.</p><p><br/></p><p>- Build Proof of Concept (POC) applications to demonstrate feasibility and business value.</p><p><br/></p><p>- Write clean, efficient, and well-documented code.</p><p><br/></p><p>- Collaborate with data engineers to ensure data quality for training and evaluation.</p><p><br/></p><p>- Work with senior team members to understand requirements and contribute to technical solutions.</p><p><br/></p><p>- Troubleshoot and debug AI/ML models and applications.</p><p><br/></p><p>- Stay up-to-date with the latest AI/ML advancements.</p><p><br/></p><p>- Develop models using TensorFlow, PyTorch, or Scikit-learn.</p><p><br/></p><p>- Deploy AI solutions on Google Cloud Platform (GCP).</p><p><br/></p><p>- Perform data preprocessing and feature engineering using Pandas, NumPy, etc.</p><p><br/></p><p>- Use Vertex AI for training, deployment, and model lifecycle management.</p><p><br/></p><p>- Integrate and leverage Google Gemini for specialized AI : </b></p><p><br/></p>- 2+ years of industry experience in AI/ML, with at least 2 years focused on LLMs and/or AI agents.<br/><br/></p><p>- Strong programming skills in Python and experience with frameworks such as LangChain, Transformers, Ray, or similar.<br/><br/></p><p>- Experience building production systems using LLMs (RAG, agentic workflows, orchestration, tool use, etc).<br/><br/></p><p>- Exceptional communication skills and a proven ability to present complex ideas to technical and non-technical audiences.<br/><br/></p><p>- Experience in client-facing roles or pre-sales technical advisory.</p><br/></p> (ref:hirist.tech)