Seeking Senior AI / ML Engineers to design deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain. Additionally consultants will be expected to :
Requirements
Skills
Required / Preferred
Years
Candidate Experience
Must have 10 years of experience working in IT in the US for companies in the US.
Required
10
Must have 4 years of Recent experience working for a bank or brokerage house (Since 2019).
Required
Must have 7 years experience with prompt design and implementation of chatbot applications.
Required
Must have 7 years experience programming utilizing Python C / C Go Java and Spark .
Required
Must have strong past hands-on experience building and maintaining large-scale Python applications.
Required
Must have 7 plus years experience with PyTorch and / or TensorFlow.
Required
Must have 5 years of recent hands-on experience with cloud platforms AWS AI / ML deployment and data processing for building and operating on cloud infrastructure including containerized services (ECS / EKS) Lambda) data services (S3 DynamoDB and Redshift) orchestration (Step Functions) model serving (SageMaker) and infra-as-code (Terraform / CloudFormation)."
Required
Must have 7 years plus experience building data pipelines for both structured and unstructured data processing.
Required
Must have 7 years plus experience developing APIs and integrating NLP or LLM models into software applications.
Required
Excellent and Recent hands-on experience with agentic AI concepts and Large Language Models (LLMs).
Required
Excellent and Recent hands on experience with agent frameworks such as LangChain CrewAI or AutoGen.
Required
Excellent and Recent hands-on experience with GIT and version control systems.
Required
Excellent and recent hands-on experience with large Language Models (LLMs) : orchestration and agentic AI libraries. API integration prompt engineering fine-tuning / adaptation and building applications using RAG and tool-using agents (vector retrieval function calling secure tool execution).
Required
Experience with different LLMs both commercial and open source and their capabilities (e.g. OpenAI Gemini Llama Qwen Claude).
Required
Recent hands-on experience with MLOps tools and practices ensuring seamless integration of machine learning models into production environments.
Required
Recent hands on experience with model fine-tuning techniques such as DPO and RLHF.
Required
Excellent ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
Required
Knowledge of financial products and services including trading investment and risk management
Required
Benefits
Benefit Package includes :
Paid Sick Time
Insurance for Medical Dental Vision and Life Available
401(k) including Employer Match
HSA or FSA Short-term & Long-term Disability Available
We are an EEO / Veterans / Disabled employer
Required Skills :
Must have 10 years of experience working in IT in the US for companies in the US. Required Must have 4 years of Recent experience working for a bank or brokerage house (Since 2019). Required Must have 7 years experience with prompt design and implementation of chatbot applications. Required Must have 7 years experience programming utilizing Python C / C Go Java and Spark . Required Must have strong past hands-on experience building and maintaining large-scale Python applications. Required Must have 7 plus years experience with PyTorch and / or TensorFlow. Required Must have 5 years of recent hands-on experience with cloud platforms AWS AI / ML deployment and data processing for building and operating on cloud infrastructure including containerized services (ECS / EKS) Lambda) data services (S3 DynamoDB and Redshift) orchestration (Step Functions) model serving (SageMaker) and infra-as-code (Terraform / CloudFormation). Required Must have 7 years plus experience building data pipelines for both structured and unstructured data processing. Required Must have 7 years plus experience developing APIs and integrating NLP or LLM models into software applications. Required Excellent and Recent hands-on experience with agentic AI concepts and Large Language Models (LLMs). Required Excellent and Recent hands on experience with agent frameworks such as LangChain CrewAI or AutoGen. Required Excellent and Recent hands-on experience with GIT and version control systems. Required Excellent and recent hands-on experience with large Language Models (LLMs) : orchestration and agentic AI libraries. API integration prompt engineering fine-tuning / adaptation and building applications using RAG and tool-using agents (vector retrieval function calling secure tool execution). Required Experience with different LLMs both commercial and open source and their capabilities (e.g. OpenAI Gemini Llama Qwen Claude). Required Recent hands-on experience with MLOps tools and practices ensuring seamless integration of machine learning models into production environments. Required Recent hands on experience with model fine-tuning techniques such as DPO and RLHF. Required Excellent ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner Required Knowledge of financial products and services including trading investment and risk management Required
Key Skills
Robotics,Electrical Engineering,GIS,C / C++,Technical Writing,Visio,Special Operations,Telecommunication,Geometry,Oil & Gas Experience,MPLS,Systems Analysis
Employment Type : Full Time
Experience : years
Vacancy : 1
Ai Ml Engineer • New York City, New York, USA