Staff Software Engineer
3 days ago
We are seeking a highly skilled and experienced Staff Software Engineer - Lead to join our team at Reveal Health Tech. As a key member of our engineering team, you will be responsible for overseeing the full software and model development lifecycle, working closely with various business and technology stakeholders.
Key Responsibilities- Develop Architectures: Design and implement scalable architectures for deploying and maintaining ML and AI solutions.
- Build Infrastructure: Create and manage infrastructure components and CI/CD pipelines and extend existing ML services on AWS.
- Evaluate Techniques: Assess retrieval methods, language models, and generative AI techniques with a focus on practical solutions.
- Ensure Quality: Implement automated testing and monitoring to maintain AI system accuracy and reliability.
- Collaborate Cross-Functionally: Collaborate with data scientists, software engineers, and other cross-functional teams including our engineering team in India, facilitate data-driven decision making, and drive innovative solutions.
- Optimize Solutions: Partner with the MLOps team to enhance AI/ML solutions for performance and scalability.
- Mentor Team: Guide and coach team members on engineering best practices.
- Drive Innovation: Stay current with AI advancements to foster innovation.
- Documentation: Document and communicate methodologies, algorithms, findings, and recommendations to technical and non-technical stakeholders.
- Education: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- Technical Skills: Proficiency in Python and experience with machine learning models at scale, extensive knowledge of AI/ML technologies, including libraries like scikit-learn, PyTorch, and Transformers.
- Experience: Hands-on experience with Docker, AWS (ECS, Lambdas, API Gateway), and ML/Gen AI services (AWS Bedrock, SageMaker), familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and version control.
- Knowledge: Strong understanding of retrieval-augmented generation (RAG), chains, routing, and vector databases, knowledge of MLOps practices, model development, deployment, and performance monitoring, including LLM use cases.
- Leadership: Proven ability to lead and scale projects from prototype to production with hands-on experience working on user-facing products.
- Additional Skills: Experience with life sciences or healthcare data is a plus.
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