Senior AI / ML Engineers - -C2C/W2

REQUIREMENT

Position: Senior AI / ML Engineers

Location: 499 Park Avenue, New York City, New York - 10022

Work type: Onsite

Duration:  1 year - renewable contracts

Mode of Interview: Virtual

Type: Contract

Client:

Industry: Financial Services

USC

W2/C2C

REQUIRED SKILLS:

• AI
• Machine learning           
• Banking operations      
• Chatbot               
• Python programming   
• Production support     
• Data Processing              

• Experience Programming          
• C programming language           
• Java      
• Spark
• Amazon dynamodb       
• Agent   
• Git
• Version control systems              
• Api
• Gemini

JOB DESCRIPTION:

• Must have 10 years of experience working in IT in the US  for companies in the US.
• Must have 4 years of ‘Recent’ experience working for a bank or brokerage house (Since 2019).
• Must have 7 years’ experience with prompt design and implementation of chatbot applications.
• Must have 7 years’ experience programming utilizing Python, C/C , Go, Java, and Spark .
• Must have strong past hands-on experience building and maintaining large-scale Python applications.
• Must have 7 plus years’ experience with PyTorch and / or TensorFlow.
• 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)."
• Must have 7 years plus experience building data pipelines for both structured and unstructured data processing.
• Must have 7 years plus experience developing APIs and integrating NLP or LLM models into software applications.
• Excellent and Recent hands-on experience with agentic AI concepts and Large Language Models (LLMs).
• Excellent and Recent hands-on experience with agent frameworks such as LangChain, CrewAI, or AutoGen.
• Excellent and Recent hands-on experience with GIT and version control systems.
• 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).
• Experience with different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
  Recent hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments.
• Recent hands on experience with model fine-tuning techniques such as DPO and RLHF.
• Excellent ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
• Knowledge of financial products and services including trading, investment and risk management