Senior AI/ML Engineer

Posted 2024-11-21

💎 Seniority level: Senior, 5+ years

📍 Location: Arizona, California, Connecticut, Illinois, Massachusetts, Michigan, New Hampshire, New York, Texas, Vermont, Washington D.C.

💸 Salary: 150000 - 165000 USD per year

🔍 Industry: Nonprofit organization, consumer advocacy

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLArtificial IntelligenceImage ProcessingMachine LearningData scienceCollaboration

Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field.
5+ years of professional working experience in AI/ML engineering projects.
Strong foundations in Computer Science, Math, Probability, Statistics, Machine Learning, Image Processing, Natural Language Processing (NLP), and Generative AI concepts.
Expert in Python, SQL, Unix Scripting and related libraries and frameworks.
Experience building end-to-end production grade AI/ML pipelines in cloud (AWS + Databricks).
Excellent communication and collaboration skills to partner with business and technology.

Conduct the gathering and detailed analysis of technical requirements for AI/ML projects.
Design and develop AI/ML models, create robust data processing pipelines, and integrate API services; iteratively evaluate and enhance model accuracy and efficiency.
Manage the deployment of AI/ML models, monitor their performance, and optimize them in production environments.
Address and resolve complex technical challenges in production environments.
Mentor junior team members and enhance the team's overall technical capabilities in AI/ML.
Research and stay updated on the latest AI/ML technologies and frameworks to drive innovation and improve the organization's AI/ML capabilities.
Perform other duties as assigned to support the ongoing growth and development of the AI/ML initiatives.

Posted 2024-11-19

📍 U.S.

💸 110000 - 180000 USD per year

🔍 Distributed Data Systems, Platforms at Scale, Complex Application Development

5 years of relevant hands-on experience.
Strong practical experience in Software Engineering.
Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred).
Experience with Kubernetes and Docker.
Pragmatic knowledge of various ML subfields, especially NLP, CV, and Time Series.
Experience building and maintaining machine learning pipelines.
Experience in using data processing frameworks (Apache Spark preferred).
Practical programming and scripting skills (Python preferred).
Excellent problem-solving skills and attention to detail.
Proven experience with modern software development practices including scrum/agile, Git, and DevOps.

Collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
Develop Machine Learning models that are integral to a larger pipeline delivering value to our end customers.

DockerPythonSoftware DevelopmentAgileGitKubernetesMachine LearningPyTorchSCRUMSparkCommunication SkillsCollaborationDevOpsAttention to detail

Posted 2024-11-19

🔧 Requirements