PERMEVO · 3 hours ago
AI / ML Engineer
United States
Full-time
Remote
Mid Level
3+ years exp
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Hiring Manager
Samrat Harsh
Insider Connection @PERMEVO
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Responsibilities
Design, develop, and deploy machine learning pipelines, including feature engineering, model training, and inference.
Scale machine learning algorithms to handle massive datasets and meet stringent SLAs.
Build and enhance ML engineering platforms and components.
Implement robust ML Ops practices , including model monitoring, evaluation, and retraining.
Write clean, efficient, and well-tested code.
Collaborate effectively with cross-functional teams, including data scientists, engineers, and product managers.
Stay up-to-date with the latest advancements in machine learning and AI.
Qualification
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Required
Bachelor's or master’s degree in computer science, Statistics, or a related field.
3-5 years of experience in machine learning model development and deployment.
Strong programming proficiency in Python and PySpark.
Experience with ML platforms (e.g., Dataiku, SageMaker, MLflow).
Expertise in cloud platforms (AWS, Azure, GCP) for model deployment.
Solid understanding of machine learning algorithms and techniques.
Proficiency in data structures, algorithms, and software design patterns.
Experience with Spark or other distributed computing frameworks.
Knowledge of DevOps, CI/CD, and data security.
Experience with data engineering in big data systems.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Preferred
Strong PySpark, Python, ML Flow, MLOps SageMaker, and cloud engineering skills.
Company
PERMEVO
PERMEVO is a global talent solutions company that provides executive search, contract subject matter experts, and direct hire services to life, health, and data science-related sectors.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
