Data Engineer

As an AI/ML Engineer at our company, you will be responsible for implementing MLOps frameworks for machine learning model lifecycle management. You will collaborate on integrating advanced AI technologies and models and develop data pipelines for model training and deployment on platforms such as Hugging Face, OpenAI, and Bedrock. Additionally, you will optimize data infrastructure for large-scale AI model training, evaluate and establish best practices for data management and model deployment, and evaluate and adopt new AI/ML technologies and tools. Your role will also involve providing ongoing improvement and support for the AI/ML implementation. Qualifications required for this position include: - 2+ years of experience working on building ML/AI-driven applications - Experience in Data Engineering with a focus on MLOps, Generative AI, and LLMs - Proficiency in Python; familiarity with TensorFlow, PyTorch, MLflow, Kubeflow - Experience with AI platforms like Hugging Face, OpenAI, and Bedrock - Expertise in big data technologies and SQL/NoSQL databases - Knowledge of cloud computing services (AWS, GCP, Azure) - Solid analytical skills and team collaboration ability If you meet the above qualifications and are passionate about working with cutting-edge AI technologies, we encourage you to apply for this exciting opportunity at our company. As an AI/ML Engineer at our company, you will be responsible for implementing MLOps frameworks for machine learning model lifecycle management. You will collaborate on integrating advanced AI technologies and models and develop data pipelines for model training and deployment on platforms such as Hugging Face, OpenAI, and Bedrock. Additionally, you will optimize data infrastructure for large-scale AI model training, evaluate and establish best practices for data management and model deployment, and evaluate and adopt new AI/ML technologies and tools. Your role will also involve providing ongoing improvement and support for the AI/ML implementation. Qualifications required for this position include: - 2+ years of experience working on building ML/AI-driven applications - Experience in Data Engineering with a focus on MLOps, Generative AI, and LLMs - Proficiency in Python; familiarity with TensorFlow, PyTorch, MLflow, Kubeflow - Experience with AI platforms like Hugging Face, OpenAI, and Bedrock - Expertise in big data technologies and SQL/NoSQL databases - Knowledge of cloud computing services (AWS, GCP, Azure) - Solid analytical skills and team collaboration ability If you meet the above qualifications and are passionate about working with cutting-edge AI technologies, we encourage you to apply for this exciting opportunity at our company.