Generative AI Engineer

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• Programming:
  Expert-level proficiency in Python.
• ML Frameworks:
  Extensive experience with PyTorch (strongly preferred) and/or Tensor Flow.
• LLMs & NLP:
  Hands‑on experience with Large Language Models (e.g., OpenAI API, Hugging Face Transformers, Lang Chain, Llama Index, or custom models) and a deep understanding of NLP concepts such as tokenization, embeddings, and attention mechanisms.
• Cloud & MLOps:
  Proven experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools (Docker, Kubernetes, MLflow, Weights & Biases, TFX).
• Problem‑Solving:
  Strong analytical and problem‑solving skills with the ability to iterate quickly from experimentation to production‑ready solutions.
• Design & Development:
  Architect, train, fine‑tune, and optimize large generative models (e.g., LLMs like GPT, diffusion models like Stable Diffusion, VAEs, GANs) for specific use cases.
• End‑to‑End Pipeline Ownership:
  Build robust, scalable data pipelines for pre‑processing and curating massive training datasets.
• Model Deployment & MLOps:
  Implement and manage MLOps practices to deploy models into production, ensuring scalability, low latency, and high reliability (containerization, API development, CI/CD).
• Performance Optimization:
  Apply advanced techniques such as Retrieval‑Augmented Generation (RAG), fine‑tuning, quantization, and distillation to improve model efficiency, accuracy, and cost‑effectiveness.
• Research & Innovation:
  Stay current with the latest academic research and open‑source advancements in generative AI; prototype new ideas and conduct experiments to validate feasibility and impact.
• Collaboration:
  
  Work closely with product managers, data scientists, and software engineers to integrate generative AI capabilities into products and platforms.

• Bachelor of Computer Science (minimum).

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

• Seniority level:
  Entry level
• Employment type:
  
  Full‑time
• Job function:
  Engineering and Information Technology
• Industry: IT Services and IT Consulting

Base Salary Range: $90,000 – $140,000 per annum

Location:

Warren, MI