Staff Machine Learning Engineer

Posted about 2 months agoViewed

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💎 Seniority level: Staff, 6+ years

📍 Location: U.S.

💸 Salary: 188000.0 - 225000.0 USD per year

🔍 Industry: FinTech

🏢 Company: Flex

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: AWSPythonGCPKubernetesMachine LearningPyTorchAzureSparkTensorflowCI/CD

Requirements:

Master’s or Ph.D. in Computer Science, Engineering, or a related field.
6+ years of experience as a Machine Learning Engineer with expertise in production environments.
Strong proficiency in Python or similar programming languages.
Experience with ML libraries like TensorFlow, PyTorch, and scikit-learn.
Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark, Kubernetes).
Proven track record of implementing end-to-end machine learning pipelines.
Strong background in model optimization, version control, and CI/CD practices.
Excellent problem-solving abilities and the capacity to collaborate with cross-functional teams.

Responsibilities:

Own the end-to-end lifecycle of machine learning projects, from data collection and preprocessing to model deployment, monitoring, and maintenance in a production environment.
Build, maintain, and optimize robust data pipelines that support model development, training, and deployment at scale.
Implement machine learning algorithms and models that meet performance, scalability, and reliability requirements.
Collaborate with data scientists, engineers, and product teams to design and deploy machine learning systems.
Continuously monitor and improve model performance, conducting experiments and tuning hyperparameters.
Leverage distributed computing frameworks and cloud-based platforms for efficient processing of large-scale datasets.

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