Quantiphi
Architect ML - AI Researcher
USA - Remote · Senior
Sponsorship not specifiedDetected 22 days ago
JavaSQLSnowflakeDatabricksAWSGCPAzureCloud PlatformsCI/CDDevOpsMachine LearningPyTorchscikit-learnPandasNumPySparkData EngineeringData ScienceNLPLLMsRAGAgentic AIMLOpsA/B Testing
About the role
- As an ATA Machine Learning Engineer in healthcare, you'll deliver multi-geography projects, empowering healthcare organizations with data ingestion, cloud services, and DevOps.
- You'll collaborate with Cloud, Software, and Data Engineering teams to build platforms and solutions for digital diagnosis, software as a medical product, and AI marketplaces.
Responsibilities
- Develop high-level solution architectures, collaborating with offshore big-data engineers and decision science analysts to build, test, and assess models predicting and optimizing client business outcomes.
- Lead technical discussions on architecture design and troubleshooting with clients, proactively providing solutions, and mentor senior resources/team leads.
- Collaborate across functions (product, clinical, data science, engineering) and with offshore delivery managers to ensure seamless communication and delivery.
Requirements
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Proficiency in Python.
- Proficiency in Java or other languages is helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Ability to handle conflicts effectively by managing internal and external stakeholders
- Experience in leading multiple large projects as well as a deep understanding of Agile developments
- Must also have the ability to interact with other members of the team (Juniors, Seniors, ATA, TA, BA, etc) to get their designs from concept to development
Nice to have
- Hands-on experience with statistical tools and techniques
- Experience with Agile/Scrum/DevOps software development methodologies.
- Critical eye for the quality of data and strong desire to get it right.
- Other Qualifications (OQs):
- Effective communication with all the stakeholders involved
- Need to communicate clearly about complex subjects and technical plans
- Ability to mentor and groom junior members of the team and provide them with guidance and roadmap.
- Keeping various audiences in mind, engineers must write their reports in clear language accessible to all.
Skills
- Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- 2x Snowflake Partner of the Year awards.
- Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
Benefits
- Apply GenAI and LLM-based ML/AI techniques to develop, scale, and integrate model systems and solutions into large-scale cloud-based SaaS production environments for healthcare.
- Design, build, and evaluate solutions for healthcare use cases (e.g., predictive models, summarization, semantic search), performing research, experimentation, data management, and model evaluation.
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