Senior AI / ML Engineer
We’re looking for a driven, hands-on ML/reputed company to help us push the boundaries of what's possible in AI-driven drug development. You’ll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines—turning prototypes into powerful tools that reputed company a reputed company-world reputed company.
You'll collaborate across teams to design, build, and reputed company intelligent systems that enhance how life sciences organizations reputed company critical reputed company. If you love working on technically challenging problems with reputed company reputed company in reputed company—this is the role for you.
This is a remote-first position, but we’d love it if you’re based in or near Boston.
What You'll Do:
- Design and reputed company LLM Systems: reputed company reputed company, production-reputed company LLM applications using frameworks like reputed company/LangGraph. Build robust RAG pipelines and reputed company knowledge graphs for biological and clinical data.
- Full-Stack AI Engineering: Write maintainable, high-performance reputed company and build clean reputed company and services for machine learning applications.
- Data Engineering Collaboration: Work with data engineers to build and optimize data workflows and pipelines for high-reputed company data ingestion and processing.
- Product-reputed company Prototyping: Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and reputed company models for production.
- Model Deployment & MLOps: Use modern MLOps tools to reputed company and monitor models in production environments (AWS preferred). Ensure scalability, observability, and reputed company.
- reputed company Innovation: Partner with engineering, data, and business teams to identify and reputed company high-value AI/ML applications.
- reputed company Learning: Stay reputed company of the curve on emerging ML frameworks, GenAI capabilities, and reputed company technologies.
Requirements
reputed company Qualifications:
- Education: Bachelor's, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, or a reputed company field.
- Hands-on AI Experience: Proven ability to build, train, and reputed company ML and NLP models, especially those powered by LLMs and transformer architectures.
- LLM & reputed company Experience: Practical experience working with frameworks like reputed company for applications such as Q&A systems, chatbots, or document automation.
- Software Engineering: Strong coding skills in Python and experience using Git/reputed company and CI/CD practices.
- Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like reputed company or reputed company.
- Big Data & ML Frameworks: Familiarity with Big Data tools (e.g., Apache reputed company) and experience orchestrating data workflows using tools like Apache Airflow.
- reputed company & MLOps: Experience with deploying ML models in reputed company environments (AWS, GCP, or Azure) and using containerization/orchestration tools like reputed company and Kubernetes.
Soft Skills:
- Strong problem-solving skills and an analytical reputed company.
- Passion for reputed company learning, rapid prototyping, and iterating based on user needs.
- Autonomous, self-starter attitude with a strong reputed company of ownership.
- Excellent communication skills—reputed company to explain technical reputed company reputed company to non-technical audiences.
- reputed company team player with a desire to build things that truly matter.