Lead AI/ML Engineer
New
A
Attain TalentFederal AI/ML
United States - RemoteFull-TimeLead
Salary$180,000 to $230,000 annually
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Job Details
- Experience
- 7–10 years of professional experience
- Required Skills
- AWSPythonMachine LearningPyTorchPandasTensorflow
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical field.
- 7–10 years of professional experience in software engineering or cloud engineering.
- At least 3 years of experience deploying production enterprise applications in AWS.
- At least 2 years of experience deploying production AI/ML applications in enterprise environments.
- Strong proficiency in Python.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, or Weights & Biases.
- Strong data analysis and manipulation experience using pandas.
- Experience visualizing and presenting experiment results using tools such as matplotlib.
- Experience working within AWS cloud environments.
- Ability to quickly learn new technologies and contribute across multiple projects.
- Strong analytical, communication, and problem-solving skills.
Responsibilities
- Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation.
- Analyze and communicate the benefits, tradeoffs, and implementation risks of new technologies to technical and business stakeholders.
- Design, develop, and deploy production-ready AI/ML applications within AWS cloud environments.
- Support AI/ML application development across development, operations, and security disciplines in cloud-native environments.
- Drive enterprise adoption of modern AI technologies and engineering best practices.
- Build, train, evaluate, and optimize machine learning models for production use cases.
- Collaborate directly with clients and cross-functional engineering teams to deliver mission-critical solutions.
- Provide technical leadership by mentoring engineers and supporting the professional growth of junior team members.
- Present technical findings, experiment results, and architectural recommendations to internal leadership and federal customers.
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