ICW Group
Applied AI Engineer
San Diego, CA
Sponsorship not specified$122k-$218kDetected 30 days ago
PythonCode ReviewSnowflakeAWSCloud PlatformsDockerKubernetesCI/CDMachine LearningTensorFlowPyTorchData EngineeringData ScienceNLPLLMsMLOpsComplianceResearchCommunicationCollaborationProblem Solving
About the role
- Why settle for just a job when you can land a career?
- Learn more about why you want to be here!
- SUPERVISORY RESPONSIBILITIES This position has no supervisory responsibility but may mentor and train junior engineers.
Responsibilities
- Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing in production environments.
- Collaborate with cloud engineering, AI, and ML Ops teams to operationalize AI workloads on AWS using services such as SageMaker, Lambda, ECS/EKS, and S3.
- Build and maintain AI/ML pipelines leveraging Snowflake for feature engineering and data preprocessing.
- Follow organizational security and compliance standards when developing and deploying AI solutions.
- Monitor model performance, troubleshoot issues, and implement optimizations for reliability and cost efficiency.
- Document AI models, pipelines, and processes for team knowledge sharing and compliance.
- Support senior engineers in AI architecture reviews, code reviews, and operationalization planning.
Requirements
- Office environment - no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear.
- Employees are required to reach with hands and arms
- Employees are required to have visual acuity and be capable of operating and viewing computers and other electronic devices for extended periods of time.
Nice to have
- Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related technical discipline.
- 3+ years of experience in AI/ML engineering, with at least 1-2 years focused on generative AI or large language models.
- Hands-on experience deploying AI/ML models in cloud environments, preferably AWS.
- Familiarity with Snowflake for AI/ML feature engineering and data integration.
- Experience in regulated industries or highly data-sensitive environments is a plus.
- Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI specialization) are a plus.
- Awareness of compliance and governance standards (SOC 2, ISO 27001) is beneficial.
Skills
- Understanding of generative AI architectures, including transformers and retrieval-augmented generation.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Knowledge of MLOps practices, including CI/CD pipelines, testing, and monitoring.
- Familiarity with containerization (Docker, Kubernetes) and deployment in cloud environments.
- Solid understanding of data pipelines, Snowflake architecture, and ETL/ELT best practices.
- Awareness of security, governance, and compliance considerations for AI/ML systems.
- Strong problem-solving and collaboration skills, with effective communication to both technical and non-technical stakeholders.
Compensation
- If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work.
Benefits
- We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match
- Bonus potential for all positions
Visa & Work Authorization
- We are currently not offering employment sponsorship for this opportunity.
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This listing is sourced directly from ICW Group's careers page and normalized into a canonical job model.