<p><p><b>Title :</b> GCP ML Engineer.<br/><br/><b>Location :</b> PAN India.<br/><br/><b>Level years of experience :</b> 7 years.<br/><br/><b>Job Description :</b> </p><p><br/></p><p>The ideal candidate will have a strong background in Natural Language Processing (NLP), Python and Cloud Technology.
They will be responsible for developing and implementing advanced machine learning models, analyzing large datasets, and providing actionable insights to support our business objectives.<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Develop machine learning models with a focus on Generative AI and NLP.<br/><br/></p><p>- Design and implement data pipelines and workflows in cloud environments.<br/><br/></p><p>- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.<br/><br/></p><p>- Conduct data analysis and visualization to uncover trends and patterns.<br/><br/></p><p>- Stay up to date with the latest advancements in AI, NLP, and cloud technologies.<br/><br/></p><p>- Communicate findings and insights to both technical and non-technical stakeholders.<br/><br/></p><p>- Good understanding of at least one major cloud platform, such as Google Cloud Platform (GCP) or Microsoft Azure, and the ability to leverage cloud resources for scalable and efficient NLP and deep learning applications.<br/><br/></p><p>- Proficient hands-on expertise in AI programming languages and framework tools, including but not limited to Python, PyTorch, TensorFlow, and Keras, enabling the development of robust and high-performance NLP models.<br/><br/></p><p>- Ability to design, implement, and optimize distributed and parallelized algorithms for NLP and deep learning tasks, ensuring efficient processing of large-scale data and model training.</p><br/></p> (ref:hirist.tech)