NMDP

AI/ML Engineer

NMDP

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AirflowAWSAzureCloudDockerOraclePythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Work across diverse GenAI platforms like AWS, Salesforce, Oracle, Snowflake, MS Copilot, and other 3rd party GenAI platforms and libraries.
  • Automate workflows involving extraction of complex, multimodal unstructured content from variety of sources in to highly accurate and reliable structured content using platforms like AWS Textract and Bedrock
  • Design and build MCP hosts, clients and servers
  • Establish and use frameworks for automated LLM testing
  • Create regression test suites to detect drift or prompt breakage
  • Integrate with internal and external web services using secure authentication and authorization mechanisms
  • Adopt and ensure safe practices to protect against prompt injections, jailbreaks, and conform to enterprise security guidelines
  • Design, develop, and deploy production-grade traditional ML models (e.g., regression, classification, clustering, recommender systems) for a variety of business use cases.
  • Design, maintain, and optimize end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure (e.g., AWS or equivalent)
  • Ensure AI/ML solutions are scalable, reliable, secure, and cost-effective within cloud environments
  • Create reusable components, frameworks, and best practices to accelerate AI development
  • Partner with data scientists, architects, product managers, business stakeholders and technical teams across organization to align AI solutions with organizational goals.
  • Provide hands-on technical support and mentorship to technical teams across the enterprise.

Requirements

  • Bachelor’s degree in computer science, Engineering, or related field.
  • 3+ years of experience designing and deploying ML/AI solutions in real-world environments
  • Very strong Python skills with strong hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Anthropic, etc.) using Python and Python based frameworks
  • Strong hands-on experience in prompt engineering, context construction, grounding strategies
  • Strong hands-on experience with Retrieval Augmented Generation (RAG) extracting, chunking and create embeddings from unstructured documents from diverse sources including O365(email, word, excel), PDFs, and webpages.
  • Comfortable building Model Context Protocol (MCP) clients, servers and hosts.
  • Strong Expertise in building REST APIs and integrating with internal/external APIs
  • Hands-on experience with Intelligent Document Processing and/or OCR technologies on complex documents
  • Knowledge of Google A2A
  • Deep experience in AWS (Lambda, Bedrock, Step Functions, API Gateway, IAM)
  • Strong experience with Observability tools like Dynatrace, or other similar GenAI observability tools
  • Excellent GenAI foundations and concepts
  • Clear understanding of enterprise data privacy, AI governance, and observability
  • Proficiency in Python and common ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of data engineering, SQL, and feature engineering.
  • Hands-on experience with cloud services such as AWS Sagemaker, Lambda, ECS, S3, and IAM.
  • Familiarity with containerization (Docker) and orchestration (e.g., Airflow, Kubeflow).
  • Working with version control and collaboration tools (Git, Jira, Confluence etc).
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonML/AI solutionsprompt engineeringRetrieval Augmented Generation (RAG)Model Context Protocol (MCP)REST APIsIntelligent Document ProcessingAWSSQLdata engineering
Soft Skills
technical supportmentorshipcollaborationcommunicationproblem-solvingorganizational alignmentadaptabilityattention to detailcritical thinkingleadership
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in Engineeringrelated field certification