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AI/ML Architect
Xcede
New York, us
Position Overview We are seeking a visionary Artificial Intelligence and Machine Learning Architect to lead the end-to-end design and delive...
$180k – $210k/year Apply Now
Python Engineer
Alignerr
Seattle, WA
Position Overview Fully remote, flexible contract role for senior Python developers to evaluate AI-generated code and solve algorithmic chal...
$60.00 – $90.00/hr Apply Now
Python Software Engineer - AI Workflows
Alignerr
New York, NY
Position Overview Fully remote contract role with flexible hours for a senior Python Software Engineer specializing in AI workflows at Align...
$50.00 – $75.00/hr Apply Now
Python Software Engineer - AI Workflows
Alignerr
Denver, CO
Position Overview Fully remote contract role for senior full-stack Python engineers to work on real production systems supporting AI data pi...
$50.00 – $75.00/hr Apply Now
Data Platform Engineer (Python)
Alignerr
New York, NY
Position Overview Fully remote contract role with Alignerr, working on real production systems supporting AI development. Opportunity to bui...
$50.00 – $75.00/hr Apply Now
Junior Software Developer
hackajob
Annapolis Junction, MD
Position Overview At Nightwing CODEX, a software developer designs and implements custom software tools and techniques. Most of the work is ...
$90k – $130k/year Apply Now
AI Research Engineer
Handshake
San Francisco, CA
About Handshake Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million ...
$330k – $370k/year Apply Now
Senior Data Scientist — Health Analytics & Impact
Optum
Ireland
A global healthcare organization is seeking a Senior Data Scientist to analyze complex datasets and improve healthcare outcomes. Position Ove...
Pay not listed Apply Now
Sr. Data Scientist
BambooHR
Salt Lake City, UT
This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a b...
Pay not listed Apply Now
Lead Data Scientist - Analytics & Growth Strategy
Coinbase
Baton Rouge, LA
A leading cryptocurrency platform is on the lookout for a talented Data Scientist to join our dynamic team. We are excited to welcome an indi...
Pay not listed Apply Now
AI/ML Architect

Position Overview We are seeking a visionary Artificial Intelligence and Machine Learning Architect to lead the end-to-end design and delivery of scalable, production-grade systems. As a p...

$180k – $210k/year Apply Now

Position Overview
  • We are seeking a visionary Artificial Intelligence and Machine Learning Architect to lead the end-to-end design and delivery of scalable, production-grade systems. As a principal Artificial Intelligence and Machine Learning Architect, you will own the solution blueprints for high-impact projects within the BFSI sector, ensuring all models are robust, secure, and compliant.
Must Have Technical/Functional Skills
  • Significant depth in AI/ML architecture and solution design on customer-facing programs
  • Strong hands-on understanding of ML development frameworks and ecosystems (e.g., Python standard ML/DL libraries like scikit-learn, TensorFlow, PyTorch, HuggingFace)
  • Proven architecture experience for cloud-native AI/ML solutions (AWS/Azure/GCP) and production deployments
  • Strong MLOps experience: model lifecycle, governance, monitoring, and production controls
  • Deep GenAI/LLM architecture experience (RAG patterns, evaluation harnesses, prompt orchestration, guardrails)
  • Graph/Network analytics exposure (Neo4j/TigerGraph/NetworkX/GraphX)
  • Spark/Scala/PySpark at enterprise scale (data processing ML pipelines)
  • BFSI domain exposure and ability to design within regulated / compliance-heavy environments
Roles & Responsibilities
  • Architect and drive the design, development, and deployment of scalable ML/AI solutions
  • Lead and actively contribute to data science initiatives across the full project lifecycle -- from ideation and solution design to hands-on development, deployment, and production support
  • Define standards, best practices, and governance for AI/ML solutioning and model management
  • Collaborate with data engineering, MLOps, product, and business teams
  • Oversee integration of data science models into production systems
  • Design and implement AI solutions on cloud platforms (AWS/Azure/GCP) and/or on-prem using open-source technologies
  • Evaluate and recommend ML tools, frameworks, and cloud-native services aligned to performance, security, and cost goals
  • Ensure architectures address enterprise non-functionals: scalability, resiliency, observability, security, and compliance
  • Perform MLOps design and implementation (and lead the team on same if needed) including CI/CD for ML, reproducibility, model registry, monitoring, drift detection, and operational controls
  • Define standards, best practices, and governance for AI/ML solutioning and model management (validation, documentation, approvals, audits)
  • Architect solutions leveraging LLMs (including GPT-class models) for enterprise GenAI use cases and design patterns such as RAG, guardrails, evaluation and safety controls
  • Guide data strategy and feature store design; align data engineering and ML engineering for reliable feature pipelines
  • Provide architectural direction for big data processing using Spark/PySpark for large-scale feature generation and training workflows
  • Partner with stakeholders to identify high-value use cases, shape roadmaps, and translate business requirements into robust technical architecture
  • Present architecture, trade-offs, risk controls, and delivery plans clearly to technical and executive audiences
  • Mentor ML engineers, data scientists, and platform teams; establish architectural guardrails, design reviews, and engineering standards
  • Open-source contributions or published research
Generic Managerial Skills
  • A senior AI/ML Architect (15 years) to perform end-to-end architecture and delivery of scalable, secure, production-grade AI/ML systems for BFSI clients
  • You will own solution blueprints across the full lifecycle---from use-case discovery and architecture to platform selection, MLOps/LLMOps design, deployment, and governance---and mentor cross-functional teams (data scientists, ML engineers, data engineers, and application teams)
  • You will work closely with stakeholders to identify high-value use cases and ensure seamless integration of models into business applications. Your deep expertise in machine learning, cloud-native architectures, MLOps practices, and financial domain knowledge will be essential to influence strategy and deliver transformative business impact
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