Senior GenAI Engineer - Scale & Deploy Enterprise AI

engineeringjobs.net, Inc.

Secaucus (NJ)

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Benefits offered by this job

Performance Bonus
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
AD&D Insurance
Short-Term Disability
Long-Term Disability
Wellbeing Allowance
Educational Assistance
Mental Health Coaching
Health Savings Account
Flexible Spending Accounts
401(k) Retirement Plan
Vacation
Sick Time
Personal Days

Job summary

engineeringjobs.net, Inc. is seeking an experienced AI/ML Engineer to design, fine-tune, deploy and scale enterprise Generative AI systems across platforms such as ServiceNow, GitHub, Tableau, and SharePoint.

You will lead AI infrastructure and productization, accelerating automation and workflows. You will collaborate with business leaders, train teams, and promote responsible AI adoption, translating complex technical strategies into actionable plans.

Qualifications

  • Bachelor's or master's degree in computer science, machine learning, data science, or a related field.
  • At least three years of applied AI/ML experience.
  • Expertise in LLMs and model development, cloud and MLOps infrastructure, software engineering, data pipelines and databases.
  • Ability to communicate technical strategies to business leaders.

Responsibilities

  • Design, fine-tune, deploy, and scale enterprise Generative AI systems.
  • Lead AI infrastructure and productization, improve internal automation and workflows.
  • Promote responsible AI adoption through collaboration, training, and stakeholder engagement.

Skills

Generative AI
Large Language Models
Natural Language Processing
Transformers
Model Fine-Tuning
MLOps
Cloud AI Infrastructure
Python
API & Microservices

Education

Bachelor's degree in CS/ML/Data Science or related field
Master's degree in CS/ML or related field

Tools

Docker
Kubernetes
Hugging Face
PyTorch
TensorFlow

Job description

engineeringjobs.net, Inc. is seeking an experienced AI/ML Engineer to design, fine-tune, deploy and scale enterprise Generative AI systems across platforms such as ServiceNow, GitHub, Tableau, and SharePoint.

You will lead AI infrastructure and productization, accelerating automation and workflows. You will collaborate with business leaders, train teams, and promote responsible AI adoption, translating complex technical strategies into actionable plans.

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