Machine Learning Engineer

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 130000.0 - 200000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Sadaora

⏳ Experience: 5+ years

🪄 Skills: AWSDockerPythonETLGCPGitKubernetesMachine LearningMLFlowPyTorchAzureData engineeringTensorflowCI/CD

Requirements:

5+ years of experience developing, deploying, and maintaining ML models in production environments.
Proficiency in Python and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost).
Strong foundation in statistics, linear algebra, probability, and optimization.
Deep understanding of a range of ML techniques (regression, classification, clustering, NLP, deep learning).
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Solid understanding of software engineering principles, version control (Git), and CI/CD workflows.

Responsibilities:

Design, train, and evaluate machine learning models using best-in-class frameworks.
Architect scalable ML solutions and pipelines, from feature engineering to deployment.
Implement rigorous testing, validation, and monitoring processes to ensure model reliability in production.
Work closely with data engineers to shape the data architecture required for robust ML workflows.
Build efficient ETL pipelines to clean, preprocess, and transform large-scale datasets.
Partner with product managers, engineers, and business stakeholders to define ML use cases.
Collaborate with software engineers to integrate ML models into production-grade APIs and applications.
Translate complex ML concepts into business-relevant insights and recommendations.
Stay current with advancements in machine learning, AI, and related fields.
Experiment with new algorithms, architectures, and tools to continuously enhance our capabilities.
Contribute to a culture of experimentation, technical excellence, and intellectual curiosity.

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