Jobs / JPM***

Executive Director Machine Learning Engineer-MLOps

JPM*** · Palo Alto, CA, United States
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Palo Alto, CA, United StatesExp: 6-10 yrs223,250-325,000 USD/yearlyRemote
Remuneration
223,250-325,000 USD/yearly
Location
Palo Alto, CA, United States
Visa sponsorship
Sponsors visa

Job summary

JPM*** is seeking a Senior MLOps Engineer to work with Data Scientists on building and deploying machine learning models. The role involves implementing algorithms, managing model serving systems, and optimizing performance in a controlled environment.

Qualifications

  • BS in Computer Science or related Engineering field with 10+ years of experience or MS degree with 6+ years experience.
  • Extensive experience in Python and cloud computing, particularly AWS.
  • Knowledge of quantization techniques for LLMs.
  • Understanding of Transformer models and their serving challenges.
  • Familiarity with ML training and reinforcement learning algorithms.
  • Experience in systems engineering fundamentals: caching, CUDA, autoscaling.
  • Passion for data science and model deployment.
  • Experience with monitoring tools for model input/output.
  • Strong analytical mindset and engineering fundamentals.

Responsibilities

  • Build and maintain pipelines for distributed training on GPU-enabled clusters.
  • Manage real-time and batch inference systems for optimal performance.
  • Implement quantization techniques and deploy large language models on serving stacks.
  • Optimize vector databases for AI and machine learning applications.
  • Establish monitoring and observability pipelines for system health.
  • Collaborate with teams to integrate new technologies and improve infrastructure.
  • Define scalable technical solutions with product and engineering teams.

Skills

AWSDockerECSKubernetesPython

Degrees

BS in Computer ScienceMS in Computer Science

Relocation

No