ML Architect

Title : AI / ML Full Stack Engineer

Location : New York City, New York

Duration : Long-term

Required :

• Proven experience with prompt design and chatbot implementations; deploying LLM-based NLP solutions in production.
• Strong background in cloud-based AI / ML deployment, data processing, and scalable architectures.
• Experience with MLOps practices, model serving, and infra-as-code.
• Proficiency with agentic AI concepts, LLM orchestration, and agent frameworks.
• Comfort communicating with leadership and diverse stakeholders.
• Ensure robust MLOps practices : CI / CD, version control, monitoring, logging, alerting, testing, and governance.
• Manage cloud infrastructure and services (AWS preferred) : ECS / EKS, Lambda, S3, DynamoDB, Redshift, Step Functions, SageMaker; IaC (Terraform / CloudFormation).
• Functionally handle model fine-tuning (DPO, RLHF) and evaluation; aware of open-source and commercial LLMs (OpenAI, Gemini, Llama, Qwen, Claude).
• Build and maintain large-scale Python applications; experience with PyTorch / TensorFlow; proficient in Python, with exposure to C / C++, Go, Java, and Spark.
• Develop data pipelines for both structured and unstructured data; implement NLP integrations and agent frameworks (LangChain, CrewAI, AutoGen).