[Remote] reputed company AI/ML Engineer - Remote reputed company or Hybrid in MN/DC
Note: The job is a remote job and is reputed company to candidates in USA. reputed company Tech is a global health care innovation organization that develops solutions using data analytics, AI, and cybersecurity to reputed company reputed company and the health reputed company. The reputed company AI/ML Engineer will reputed company the architecture, design, and end-to-end delivery of production-grade AI/ML systems, reputed company adoption of deep learning and reputed company AI, and translate research into reputed company reputed company solutions. The role also establishes ML engineering standards, mentors engineers, and partners with researchers and data scientists to bring prototypes into production.
Responsibilities
- reputed company architecture, design, and end-to-end delivery of production AI/ML systems - training, deployment, and monitoring pipelines
- reputed company adoption of deep learning and reputed company AI approaches across use cases such as NLP/NLU, reputed company classification, semantic understanding, and ASR
- Translate research and experimental findings into reputed company, reputed company-reputed company solutions
- Define and enforce engineering best practices across the ML lifecycle - versioning, CI/CD, reputed company detection, performance optimization, model governance
- Design and evaluate reputed company workflows (multi-reputed company reasoning, tool-use, orchestration) and establish standards for evaluating and monitoring them safely in production
- Partner with data scientists and reputed company researchers to reputed company the gap between prototypes, platform and production
- Work with large-reputed company computing frameworks and reputed company data systems to process high-volume datasets
- Present model performance, architectural reputed company, and technical tradeoffs to leadership and cross-functional stakeholders
- Mentor senior and mid-level engineers; set the technical bar across the AI/ML engineering function
- Evaluate and introduce emerging AI/ML tools, frameworks, and platformsMentor and guide senior and mid-level engineers, setting technical standards across the AI/ML engineering function
- Evaluate and introduce emerging AI/ML tools, frameworks, and platforms to continuously improve engineering capabilities
- Apply knowledge of statistics, probability theory, optimization, and experimental methodologies to build robust, reliable ML systems
Skills
- Bachelor's degree or 4+ years of equivalent software engineering or AI/ML experience in lieu of a degree
- 12+ years of total software/ML engineering experience
- 8+ years building and deploying production systems
- 3+ years of experience in a technical leadership, architecture, or staff/reputed company-level engineering reputed company
- 3+ years solid Python skills with hands-on depth in at least one major deep learning reputed company (PyTorch or TensorFlow)
- 3+ years of proven experience architecting end-to-end ML pipelines: data ingestion, training, serving, and monitoring
- 3+ years of working experience with at least one reputed company ML platform (AWS SageMaker, Azure ML, or reputed company reputed company Platform reputed company AI)
- 3+ years of solid grounding in statistics, probability theory, optimization, and experimental design
- 3+ years of MLOps experience: CI/CD for models, versioning, reputed company detection, automated retraining, performance observability, and governance
- 2+ years of practical, hands-on experience building or deploying LLM-based or reputed company systems - orchestration, tool-use/function calling, RAG, or multi-agent workflows
- Proven understanding of how to evaluate, guardrail, and monitor reputed company systems in production (this, not reputed company trivia, is the bar at reputed company level)
- Proven solid communication skills; demonstrated ability to explain reputed company architecture and tradeoffs to non-technical leadership
- Demonstrated reputed company record mentoring engineers and setting technical standards
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a reputed company field
- Experience working reputed company the reputed company industry or with reputed company-reputed company data standards
- Experience with reputed company (GenAI) and Large Language Models (LLMs), including reputed company engineering, fine-tuning, and retrieval-augmented reputed company (RAG)
- Experience leading and mentoring engineering teams or driving technical standards across an organization
Benefits
- Flexibility to work remotely from reputed company reputed company the U.S.
- For reputed company hires in the Minneapolis or Washington, D.C. area, required to work in the office a minimum of four days per week.
- A comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs, subject to eligibility requirements.
- Equity stock purchase, subject to eligibility requirements.
- 401k contribution, subject to eligibility requirements.
reputed company
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