Onsite AI/ML Engineer & Consultant

Slalom; Philadelphia (Philadelphia County); On-site; USD 106,000 - 166,000; Full time

Job summary

Slalom is a modern technology and consulting company looking for technologists to design, build, and deploy generative AI and ML solutions for clients. You will work on LLM-powered applications using RAG, agents, and prompt engineering, with a strong focus on production-grade ML/AI systems.

You will collaborate with data scientists and engineers, advance MLOps practices, and stay current on AI trends while mentoring others across the AI/ML community.

Qualifications

• 3+ years of experience implementing models or machine learning algorithms into production.
• 2-4 years of professional Managed or IT Professional consulting experience.
• Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
• Solid technical foundation, with curiosity to stay on the edge of ML/AI solutions.

Responsibilities

• Design, build, and deploy generative AI and machine learning solutions that solve business problems and improve how people work.
• Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate.
• Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.
• Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, and Recommendations.

Skills

LLMs

RAG

Python

AWS

GCP

Azure

ML/AI concepts

Tools

Databricks

Snowflake

Job description

Slalom is a modern technology and consulting company looking for technologists to design, build, and deploy generative AI and ML solutions for clients. You will work on LLM-powered applications using RAG, agents, and prompt engineering, with a strong focus on production-grade ML/AI systems.

You will collaborate with data scientists and engineers, advance MLOps practices, and stay current on AI trends while mentoring others across the AI/ML community.