Lead AI Engineer
4 days ago
Requirements
Key Responsibilities:
- Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions.
- Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability.
- Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization.
- Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively.
- Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments.
- Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation.
- Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products.
Required Qualifications:
- Bachelors or Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields.
- At least 5 years of professional experience in AI/Machine Learning engineering.
- Strong programming skills in Python and Java.
- Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications.
- Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.
- Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations.
- Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.
- AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).
- Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar.
- Experience in Agile development methodologies.
- Excellent communication skills, capable of conveying complex technical concepts clearly and effectively.
- Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges.
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