Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

AI / ML Engineer

Location: NYC – Hybrid, 2 days onsite

Summary

We are seeking an experienced AI / ML Engineer to design, develop, and deploy large-scale machine learning solutions focused on content intelligence, classification, and AI-powered detection systems. This role involves building production-ready ML systems, working with large language models (LLMs), and developing scalable solutions across text, audio, and visual content. The ideal candidate has strong Python expertise, hands-on production ML experience, and the ability to independently explore complex technical challenges in a collaborative engineering environment.

Responsibilities

Design, develop, and deploy machine learning models and classification systems at scale.

Build and optimize ML pipelines supporting real-time and batch processing across large datasets.

Develop solutions involving natural language processing (NLP), multimodal AI, deep learning, and content intelligence.

Build, evaluate, and deploy LLM-powered applications using prompt engineering, retrieval-augmented generation (RAG), and model orchestration techniques.

Develop evaluation frameworks using golden datasets, precision and recall metrics, benchmarking, and experimentation.

Support AI-generated content detection, spam classification, and content quality initiatives.

Collaborate with senior engineers, Data Scientists, Product Managers, and cross-functional teams to guide technical decisions.

Take ownership of ML initiatives from research and prototyping through production deployment and ongoing optimization.

Requirements

Strong hands-on experience developing, training, and deploying machine learning models in production environments.

Expertise in machine learning classification, deep learning, and modern AI technologies.

Strong Python programming skills and experience with ML frameworks and distributed computing tools such as Ray and Flight.

Experience developing and maintaining data pipelines for machine learning applications.

Hands-on experience with LLMs, NLP, RAG, prompt engineering, vector databases, or multimodal machine learning.

Proven experience working with large-scale datasets and high-throughput production systems.

Experience evaluating ML models using precision, recall, benchmarking, and experimentation frameworks.

Ability to independently research, prototype

About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy