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AI Engineer - NY at Photon Career Site
New York, New York, United States -
Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

141000.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, TensorFlow, PyTorch, Keras, JAX, Hugging Face, NLP, CV, Predictive Modeling, Generative AI, FastAPI, Triton, Pandas, NumPy, Spark, MLOps

Industry

IT Services and IT Consulting

Description
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. Nice-to-Have 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.). Compensation, Benefits and Duration Minimum Compensation: USD 40,000 Maximum Compensation: USD 141,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post
Responsibilities
The role requires engineering expertise in AI/ML, data science, or applied machine learning, utilizing strong programming skills in Python and various ML frameworks. Responsibilities include model deployment, serving, and leveraging data processing tools.