AI Engineer - NY

PhotonNew York, NY
7h

About The Position

6–7 years of experience in AI/ML engineering, data science, or applied machine learning. Strong programming skills in Python and familiarity with ML frameworks: TensorFlow, PyTorch, Keras, JAX, Hugging Face Experience with: NLP, CV, predictive modeling, or generative AI Model deployment and serving (TensorFlow Serving, TorchServe, FastAPI, Triton) Data processing tools (Pandas, NumPy, Spark) Strong understanding of: Machine learning fundamentals, deep learning architectures, and statistics Cloud platforms: AWS/GCP/Azure CI/CD, MLOps, versioning tools (MLflow, DVC, Airflow) Familiarity with distributed training, vector databases (FAISS, Pinecone, Chroma), and GPU acceleration is a plus.

Requirements

  • 6–7 years of experience in AI/ML engineering, data science, or applied machine learning.
  • Strong programming skills in Python
  • Familiarity with ML frameworks: TensorFlow, PyTorch, Keras, JAX, Hugging Face
  • Experience with: NLP, CV, predictive modeling, or generative AI
  • Model deployment and serving (TensorFlow Serving, TorchServe, FastAPI, Triton)
  • Data processing tools (Pandas, NumPy, Spark)
  • Strong understanding of: Machine learning fundamentals, deep learning architectures, and statistics
  • Cloud platforms: AWS/GCP/Azure
  • CI/CD, MLOps, versioning tools (MLflow, DVC, Airflow)
  • Familiarity with distributed training, vector databases (FAISS, Pinecone, Chroma), and GPU acceleration

Nice To Haves

  • Experience with prompt engineering, multi-agent systems, or RAG frameworks.
  • Knowledge of LLM fine-tuning (LoRA, QLoRA, PEFT).
  • Experience with real-time inference, model optimizers, quantization.
  • Certifications in AI/ML or cloud technologies.
  • Experience in domain-specific AI (healthcare, fintech, retail, etc.).

Benefits

  • Medical, vision, and dental benefits
  • 401k retirement plan
  • Variable pay/incentives
  • Paid time off
  • Paid holidays
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