Senior AI/ML Engineer — Remote, Impact & Stock Options

Placements24

USA

Remote

USD 140.000 - 230.000

Vollzeit

vor 41 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Remote work
Stock options
Health insurance
Professional development stipends
Home office support

Zusammenfassung

Placements24 is seeking a highly experienced Senior AI/ML Engineer for a fully remote role. You will lead design, deployment, and optimization of ML models and scalable pipelines with a global team.

The position requires a strong track record building production ML systems and deep learning expertise across NLP/CV. Ideal candidates have a Master’s or PhD in a quantitative field, 6+ years of experience, and proficiency in Python and major ML frameworks.

Qualifikationen

  • Master's or PhD in CS/Statistics/ML or equivalent experience.
  • Minimum 6 years in AI/ML engineering with production ML systems.
  • Proficient in Python and ML frameworks (TensorFlow/PyTorch/scikit-learn).
  • Strong knowledge of statistical modeling, DL, NLP, or CV.
  • Experience with cloud platforms and big data technologies (Spark/Hadoop).

Aufgaben

  • Design, implement, and deploy production ML models and algorithms.
  • Develop and maintain scalable ML pipelines for preprocessing, training, and inference.
  • Collaborate with data scientists and software engineers to integrate ML models into production.
  • Analyze large datasets to identify patterns and ML opportunities.
  • Mentor junior engineers and contribute to ML roadmap.

Kenntnisse

Python programming
ML model deployment
Distributed teamwork
Problem solving

Ausbildung

Master's or Ph.D. in CS/Statistics/ML

Tools

TensorFlow
PyTorch
scikit-learn
AWS/Azure/GCP
Spark/Hadoop

Jobbeschreibung

Placements24 is seeking a highly experienced Senior AI/ML Engineer for a fully remote role. You will lead design, deployment, and optimization of ML models and scalable pipelines with a global team.

The position requires a strong track record building production ML systems and deep learning expertise across NLP/CV. Ideal candidates have a Master’s or PhD in a quantitative field, 6+ years of experience, and proficiency in Python and major ML frameworks.

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