Unknown Company

Senior/Lead Gen AI/ML Engineer

alpharetta, ga • Posted 6 days ago
Remote Full Time IT & Technology

Job Title: AVP/VP

Mode of Work: 3 days/week onsite required

Required Experience: 5+ years

We are seeking a highly skilled AI/ML Engineer to develop, deploy, and scale machine learning solutions. The ideal candidate will have hands‑on experience in model development and integration, with senior candidates expected to drive architecture, advanced modeling, and AI strategy.

Key Responsibilities:

  • Build, train, and deploy machine learning models for various business use cases.
  • Integrate ML models into applications through REST APIs.
  • Work with cross‑functional teams to understand data, model requirements, and deployment constraints.
  • Develop and optimise ML pipelines for performance, scalability, and reliability.
  • Implement best practices for model monitoring, retraining, and lifecycle management.
  • Design scalable ML systems and end‑to‑end machine learning architectures.
  • Apply advanced statistical modelling and algorithmic techniques.
  • Provide leadership in AI strategy, solution design, and technology direction.
  • Drive adoption of cutting‑edge AI frameworks, including Transformers and LLMs.
  • Mentor junior team members and guide technical decision‑making.

Mandatory Skills:

  • Designing scalable ML systems (expert level)
  • Advanced statistical modelling (expert level)

Preferred Skills:

  • Experience with NLP and deep learning techniques
  • Knowledge of cloud ML platforms (AWS SageMaker, Azure AI, GCP Vertex AI)
  • Leadership in AI strategy (expert level)
  • Experience with cutting‑edge AI frameworks such as Transformers, LLMs, Diffusion Models
  • Healthcare insurance (medical, dental, vision)
  • Short / Long term disability insurance
  • Life insurance
  • Accidental death & disability insurance
  • 401K
  • 3 weeks of paid time off
  • Support and fee coverage for immigration needs
  • Remote office set‑up stipend
  • Support for industry certifications
  • Additional cash incentives
  • Re‑skilling opportunities to transition between technologies

Schedule:

Monday to Friday

Work Mode:

Hybrid

Job Type:

Full‑time

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