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Urgent! Principal ML engineer Job Opening In Bellevue – Now Hiring eTeam

Principal ML engineer



Job description


Role name: Principal ML engineer
Work Location: Bellevue, US (onsite)

Contract



Role and responsibilities:


–+ years in machine learning, AI, or data science roles.

• Proven track record of leading complex ML projects, deploying production-grade AI solutions, and mentoring teams.

• Experience in architecting enterprise-level ML platforms and influencing AI strategy is preferred.

• Expertise in Python, R, Java, or similar languages for ML/AI development.

• Extensive experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras.

• Strong foundation in statistics, probability, linear algebra, optimization, and data modeling.

• Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI Platform) and large-scale data processing tools (Spark, Hadoop).

• Proficiency in MLOps, CI/CD, containerization (Docker/Kubernetes), and model monitoring.

• Strong leadership, problem-solving, and communication skills; ability to drive strategic initiatives.

Lead the design and architecture of enterprise-level ML solutions and AI platforms.

• Define best practices, frameworks, and technical standards for ML development and deployment.

• Collaborate with stakeholders to align ML initiatives with business goals.

• Drive the development of advanced ML and AI models, including NLP, computer vision, recommendation systems, and reinforcement learning.

• Conduct research on emerging ML/AI technologies, algorithms, and frameworks.

• Experiment with novel approaches to solve high-impact business problems.

• Oversee the deployment of ML models into production environments.

• Implement and maintain end-to-end ML pipelines, CI/CD, and MLOps practices.

• Monitor model performance, manage versioning, and optimize inference efficiency.

• Mentor senior and junior ML engineers, fostering technical growth and knowledge sharing.

• Lead code reviews, design discussions, and architecture evaluations.

• Advocate for a culture of innovation, quality, and excellence in AI/ML development.

• Ensure models and ML solutions adhere to ethical AI principles, privacy, and compliance standards.

• Identify and mitigate risks such as bias, fairness, explainability, and security issues in AI systems.


Required Skill Profession

Computer Occupations



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    Unlock Your Principal ML Potential: Insight & Career Growth Guide


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