Senior AI ML Engineers
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
- Be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities.
- Address various production runtime challenges by developing agentic AI solutions that can diagnose reason and take actions in production environments to improve productivity and address issues related to production support.
- Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial field exploring and utilizing LLM orchestration and agentic AI libraries.
- Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
- Communicate effectively with both technical and non-technical stakeholders.
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
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 | 4 | |
| Must have 7 years experience with prompt design and implementation of chatbot applications. | Required | 7 | |
| Must have 7 years experience programming utilizing Python C/C Go Java and Spark . | Required | 7 | |
| 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 | 7 | |
| 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 | 5 | |
| Must have 7 years plus experience building data pipelines for both structured and unstructured data processing. | Required | 7 | |
| Must have 7 years plus experience developing APIs and integrating NLP or LLM models into software applications. | Required | 7 | |
| 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
Company Industry
IT Services and IT Consulting
Key Skills
- Robotics
- Electrical Engineering
- GIS
- C/C++
- Technical Writing
- Visio
- Special Operations
- Telecommunication
- Geometry
- Oil & Gas Experience
- MPLS
- Systems Analysis
