Artificial Intelligence Consultant

First Call Trading Corporation

Torrance, CA, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Artificial Intelligence Amazon Web Services Cloud Engineering Information Engineering Software Design Patterns Python (Programming Language) Machine Learning Tensorflow Azure Machine Learning Search Technologies Software Engineering SQL Databases

+10 more

AWS Cdk Pytorch Large Language Models Generative AI Cloudformation Scikit Learn Infrastructure Automation Frameworks Machine Learning Operations Terraform Code Restructuring

Requirements

10+ years of experience in AI/ML, data engineering, or cloud architecture.
Strong hands on experience with AWS AI/ML services including SageMaker, Bedrock, Glue, Redshift, Kinesis, Lambda, and Lake Formation.
Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit learn).
Experience with IaC tools (AWS CDK, Terraform, CloudFormation).
Deep understanding of ML algorithms, LLMs, embeddings, vector search, and model optimization.
Proven experience building production grade MLOps pipelines.

Code Review & Engineering Leadership

Demonstrated ability to review, refactor, and improve developers’ code.
Strong understanding of software engineering principles, design patterns, and testing practices.
Experience mentoring engineering teams and enforcing coding standards.

Leadership & Advisory Skills:

Excellent communication skills with the ability to influence technical and executive stakeholders.
Experience in consulting, customer advisory, or enterprise architecture roles.
Ability to translate complex technical concepts into business value., * AWS certifications (ML Specialty, Solutions Architect Professional).
Experience with generative AI, LLM fine tuning, and RAG architectures.
Background in industry specific AI use cases (finance, healthcare, retail, manufacturing).
Experience leading multi disciplinary teams across data, ML, and cloud engineering.