Sr. AI Engineer

We are seeking an experienced and talented AI Engineer to join our team. In this role, you will be responsible for developing and deploying cutting-edge artificial intelligence solutions across various domains, including generative AI, conversational AI, and predictive AI.

The application , hosted in AWS, includes EC2, S3, Lambda, Athena, DymanoDB, OpenSearch, CloudWatch, GLUE, Bedrock, SageMaker, Kendra, Amazon Q, Claude from Anthropic Titan Embeddings from in AWS, Python, Langchain, and Streamlit technologies.

• Proven experience in developing and deploying AI solutions, particularly in the areas of generative AI, conversational AI, and predictive AI.
• Strong proficiency in Python and experience with AI/ML libraries such as PyTorch, NumPy, scikit-learn, TensorFlow, and Keras.
• Familiarity with LangChain and other NLP frameworks for building conversational agents and language models.
• Experience with web frameworks like Flask and FastAPI for building scalable AI-powered applications.
• Hands-on experience with AWS services like SageMaker, model deployment, and automation.
• Knowledge of data quality analysis, profiling, and cleansing techniques.
• Familiarity with production model deployment, monitoring, and optimization best practices.
• Understanding of neural network architectures and other machine learning modeling approaches.
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and collaboration abilities to work effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.

• Proven experience in building and deploying large-scale AI systems in production environments.
• Expertise in cutting-edge AI techniques such as transformer models, few-shot learning, reinforcement learning, and generative adversarial networks (GANs).
• Familiarity with distributed training frameworks like Horovod, TensorFlow Distributed, or PyTorch Distributed.
• Experience with cloud computing platforms like AWS, Google Cloud, or Microsoft Azure, and their respective AI/ML services.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes for deploying and scaling AI applications.
• Proficiency in programming languages beyond Python, such as C++, Java, or Rust, for performance-critical applications.
• Experience with model optimization techniques like quantization, pruning, and model distillation for efficient deployment on resource-constrained devices.
• Familiarity with AI ethics and responsible AI practices, including model interpretability, fairness, and bias mitigation.
• Strong research skills, with a track record of publications or contributions to open-source AI projects.
• Experience with agile software development methodologies and DevOps practices for AI/ML projects.
• Excellent communication and presentation skills, with the ability to explain complex AI concepts to diverse audiences.

Qualifications Required:

• Bachelor’s degree (B.A.) from four-year college or university, or equivalent combination of education and experience.
• 8+ years of experience in developing and deploying AI solutions, particularly in the areas of generative AI, conversational AI, and predictive AI.
• Strong proficiency in Python and experience with AI/ML libraries such as PyTorch, NumPy, scikit-learn, TensorFlow, and Keras
• Familiarity with LangChain and other NLP frameworks for building conversational agents and language models