Hybrid AI/ML Engineer: Generative AI & LLM Solutions

Slalom; City of White Plains (NY); Hybrid; USD 116,000 - 181,000; Full time

Benefits offered by this job

401(k) with match

Health, dental and vision coverage

Adoption and fertility assistance

Short/long-term disability

Well-being reimbursement $350 yearly

Discounted home/auto/pet insurance

Job summary

Slalom is seeking a Data & AI technologist in the White Plains area to design, deploy, and scale generative AI and ML solutions for real client challenges. You will work with a diverse team of engineers and data scientists, delivering practical AI tools and applications.

You will apply NLP, CV, and recommender system techniques, building production-quality models and integrations, while staying current with AI trends and best practices to mentor others.

Qualifications

• Strong consultative and communication skills; ability to convey complex technical concepts to diverse stakeholders.
• Solid technical foundation with curiosity to stay on the edge of ML/AI solutions.
• Hands-on experience with AI/ML tools, and production ML/AI deployment best practices.

Responsibilities

• Design, build, and deploy generative AI and ML solutions that solve business problems.
• Develop LLM-powered applications using RAG, prompts, tool calls, and workflow automation.
• Apply ML/DL techniques to create AI tools addressing real business needs.
• Stay updated on AI/ML concepts and contribute to knowledge sharing within the team.

Skills

Consultative skills

Stakeholder communication

Technical foundation

Curiosity

Python for ML/AI

Education

Data Science or Data Engineering background preferred

Tools

Databricks

Snowflake

Job description

Slalom is seeking a Data & AI technologist in the White Plains area to design, deploy, and scale generative AI and ML solutions for real client challenges. You will work with a diverse team of engineers and data scientists, delivering practical AI tools and applications.

You will apply NLP, CV, and recommender system techniques, building production-quality models and integrations, while staying current with AI trends and best practices to mentor others.