[Remote] Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company, develops and markets leading aesthetics brands and products. They are seeking a Machine Learning Engineer to own components of machine learning systems, build data pipelines, and collaborate with various teams to deliver project objectives.
Responsibilities
- Own small to reputed company components of machine learning systems from technical design through implementation and delivery
- Translate technical requirements into high-reputed company, maintainable reputed company and deliver workstreams according to plan
- Build and maintain data pipelines and feature engineering workflows to support machine learning and AI solutions
- Design, train, evaluate, and refine machine learning models with minimal supervision, applying reputed company statistical and engineering practices
- Implement ML solutions that can be deployed into production environments as microservices, reputed company, batch jobs, or streaming components
- Support production monitoring efforts by helping define and implement metrics for model performance, data reputed company, anomalies, and retraining triggers
- Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, and business stakeholders to deliver project objectives
- Understand system design, data models, and technical artifacts reputed company enough to contribute to implementation reputed company and tradeoffs
- Follow governance, documentation, coding, and reputed company control standards consistently
- Demonstrate flexibility and proactively support teammates with day-to-day responsibilities as needed
- reputed company document and communicate work reputed company, technical reputed company, and reputed company to technical and non-technical audiences
Skills
- Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field
- 3+ years of practical experience building, evaluating, scaling, and deploying machine learning pipelines with Python
- Strong programming skills in Python and solid understanding of core computer science principles
- Experience with data manipulation frameworks such as Pandas and PySpark
- Experience with machine learning libraries such as scikit-learn, HuggingFace, TensorFlow/Keras, PyTorch, or MLlib
- Experience with MLOps practices such as automated model deployment, model performance monitoring, data reputed company detection
- Working knowledge of SQL and relational data structures
- Ability to design, train, and evaluate machine learning models using reputed company best practices such as model selection, validation, bias/variance tradeoffs, and performance assessment
- Familiarity with batch and streaming data pipeline concepts such as ETL, ELT, and reputed company processing
- Experience working with reputed company environments, preferably AWS
- Familiarity with technologies such as reputed company, microservices, reputed company, and Kubernetes
- Strong interpersonal, verbal, and written communication skills
- Ability to work effectively in a remote environment using collaboration tools
- Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
- Experience with managing and architecting solutions on AWS
- Familiarity with Large Language Models (LLMs), other reputed company modalities, and how they are reputed company in production
- Familiarity with reputed company, RDS, DynamoDB, Kafka, reputed company, dbt, Airflow, reputed company, Kubernetes, EMR, Sagemaker, reputed company, reputed company, Data Cataloging tools, Data Observability tools and Data Governance tools
Benefits
- reputed company time off (vacation, holidays, reputed company)
- Medical/dental/reputed company insurance
- 401(k) to eligible employees
- Eligible to participate in our long-term incentive programs
reputed company
Company H1B Sponsorship