Senior Applied AI Software Engineer
Senior Applied AI Software Engineer
About the Company:
We're partnering with a mid-sized biotech company at the forefront of pharmaceutical innovation. With a strong focus on research-driven drug development, this organization is dedicated to transforming patient outcomes through cutting-edge science and a collaborative, mission-driven culture. Their agile structure allows for meaningful impact and visibility across teams, making it an ideal environment for professionals who thrive in dynamic, purpose-led settings.
Responsibilities:
- Writing clean, high-quality, high-performance, maintainable code
- Develop and support software including applications, database integration, interfaces, and new functionality enhancements
- Coordinate cross-functionally to insure project meets business objectives and compliance standards
- Design, develop, and deploy machine learning models to solve real-world problems.
- Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to understand business needs and translate them into ML solutions.
- Perform data preprocessing, feature engineering, and model evaluation using large and complex datasets.
- Optimize model performance and scalability for production environments.
- Stay current with the latest ML research and techniques, and evaluate their applicability to ongoing projects.
- Build and maintain pipelines for training, testing, and deploying ML models.
- Communicate findings and model insights to both technical and non-technical stakeholders.
- Ensure compliance with data privacy and regulatory standards in all ML applications.
Qualifications:
- Bachelor's and Master's Degree in Computer Science or related technical field
- 6+ years of relevant work experience, with a mix of genAI and software engineering
- Strong experience in Python and related ML libraries
- Experience building LLM-based applications shipped to production, including fine-tuning models and RAG
- Well-versed in computer science fundamentals
- Strong understanding of generative AI with the ability to build across multiple agents at once
- Creation and deployment of models in the cloud
- Experience in the biotech, healthtech, medtech, or pharmaceutical space
FAQs
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