Senior Staff Engineer, Machine Learning
Senior Staff Engineer, Machine Learning
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
REQUIREMENTS:
- Total experience 10 years.
- Strong NLP fundamentals with deep expertise in transformer-based models using HuggingFace and OpenAI APIs.
- Hands-on experience in agentic AI frameworks like LangChain LangGraph or CrewAI.
- Proficiency in Python Pandas and working with clinical/EHR datasets.
- Solid understanding of MLOps practices including Docker Kubernetes and CI/CD for model deployment.
- Awareness of HIPAA and healthcare data compliance standards.
- Ability to define and iterate on clinical NLP metrics with cross-functional teams.
- Strong collaboration and communication skills to work alongside clinical data science and engineering teams.
RESPONSIBILITIES:
- Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture framework and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies patterns and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
