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Senior Machine Learning EngineerPozent CorporationUnited States

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Senior Machine Learning Engineer

Pozent Corporation
  • US
    United States
  • US
    United States

À propos

Job Summary
We are seeking an experienced Senior Machine Learning Engineer to lead Proof of Concepts (POCs), design scalable ML solutions, drive end-to-end model development, and conduct thorough code reviews. The ideal candidate will combine strong technical expertise with architectural thinking and hands-on development capabilities to deliver high-quality, production-ready machine learning systems.
Key Roles & Responsibilities Lead and execute
Proof of Concepts (POCs)
to evaluate feasibility of ML/AI solutions Design and architect scalable, production-grade machine learning systems Develop, train, validate, and deploy machine learning models Write clean, efficient, and maintainable code following best practices Conduct
code reviews
to ensure quality, performance, scalability, and security Collaborate with data engineers, product teams, and stakeholders to translate business requirements into technical solutions Optimize model performance and ensure production monitoring and reliability Implement CI/CD pipelines for ML workflows Document technical designs, model decisions, and implementation details
Core Skills
8-12+ years of overall software development experience 5+ years of hands-on experience in
Machine Learning / AI development Strong proficiency in
Python
(NumPy, Pandas, Scikit-learn) Experience with deep learning frameworks such as
TensorFlow or PyTorch Strong understanding of ML algorithms, model evaluation, and feature engineering Experience with
model deployment and MLOps practices Familiarity with cloud platforms (AWS / Azure / GCP) Experience with Git-based version control and code review processes Strong problem-solving and communication skills
Nice to Have
Experience with Generative AI / LLMs Experience building APIs (FastAPI / Flask) Experience with containerization (Docker, Kubernetes) Experience working in Agile/Scrum environments
Education
Bachelor's degree in Computer Science, Engineering, Data Science, or related field Master's or Ph.D. in AI/ML/Data Science - preferred
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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