Quantiphi

Quantiphi

Architect ML - AI Researcher

USA - Remote · Junior

Sponsorship not specifiedDetected 8 days ago
JavaSQLSnowflakeDatabricksAWSGCPAzureCloud PlatformsCI/CDDevOpsMachine LearningPyTorchscikit-learnPandasNumPySparkData EngineeringData ScienceNLPLLMsRAGAgentic AIMLOpsA/B Testing

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

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Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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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.
  • 17x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.

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
  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
  • Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

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.

Benefits

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  • 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.

Company info

  • Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
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