Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4348481834&f_AL=true&f_TPR=r86400&f_WT=2&keywords=machine%20learning%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&spellCorrectionEnabled=true&start=25

Job Description: Artificial Intelligence Consultant 
New York, United States · 1 hour ago · 78 applicants
Promoted by hirer · Company review time is typically 1 week


 Remote
Matches your job preferences, workplace type is Remote.

Contract

Easy Apply

Save
Save Artificial Intelligence Consultant  at SSi People
Artificial Intelligence Consultant
SSi People · New York, United States (Remote)

Easy Apply

Save
Save Artificial Intelligence Consultant  at SSi People
Show more options
Get personalized tips to stand out to hirers
Practice mock interviews personalized to every role and get custom feedback

Try Premium for PKR0
Meet the hiring team
Arun Murugesan
Arun Murugesan  
 3rd
Service Delivery Manager | SSi People
Job poster

Message
About the job
AI Engineer – LLM & NLP

📍 Location: Remote
 💼 Employment Type: Contract | 2 Months (Potential Extension)
About the Role

We are seeking a highly skilled AI Engineer specializing in Large Language Models (LLMs) and Natural Language Processing (NLP). This role involves designing, developing, and deploying advanced AI solutions—including AI agents—within modern cloud environments. The ideal candidate brings hands-on technical expertise, experience with production-grade ML pipelines, and the ability to collaborate effectively across teams.
Key Responsibilities

AI Engineering & Model Development

Develop and optimize solutions leveraging LLMs and NLP, with a focus on semantic similarity and language understanding.
Build, fine-tune, evaluate, and deploy production-grade ML models and pipelines.
AI Agents & Cloud Deployment

Design and implement AI agents, tools, and automation workflows.
Deploy and manage solutions in Google Cloud Platform (GCP) or Microsoft Azure environments.
Integrate AI systems with enterprise applications and data pipelines.
Architecture & Security

Work with scalable, cloud-native architectures for AI-driven solutions.
Apply best practices around security, compliance, and reliability in cloud deployments.
Cross-Functional Collaboration

Partner with product, engineering, and platform teams to refine requirements and deliver high-quality solutions.
Support product-related initiatives when needed (product management experience is a plus).
Professional Conduct

Uphold a respectful, collaborative, and professional work environment through integrity and personal accountability.
Qualifications

Required

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Proven experience as a Software Developer, AI Engineer, ML Engineer, or similar technical role.
Hands-on experience with LLMs, NLP frameworks, and cloud-based AI deployments.
Preferred

Familiarity with product management concepts.
Experience integrating ML models into enterprise workflows or applications.