Python with Gen AI - 100% Remote - W2 only

Python with Gen AI - 100% Remote - W2 only

Posted 2 days ago by 1761379135

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Negotiable
Outside
Remote
USA
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Amazon Elastic Container Service Amazon Web Services (AWS) Anomaly Detection Apache Kafka Artificial Intelligence AWS SageMaker Azure Kubernetes Service Bank Reconciliations Capital Markets Cloud Computing Cloud Engineering Cloud Technology Data Science DevOps Embedding Financial Data Infrastructure as Code (IaC) Interoperability Knowledge Graph Know Your Customer Kubernetes Machine Learning Microsoft Azure Natural Language Processing NLTK (NLP Analysis) Object-Oriented Design Object Oriented Modeling And Design Ontologies Python (Programming Language) PyTorch (Machine Learning Library) RDF Query Language (RDF Data Access) Redis Scalability Scikit-learn (Machine Learning Library) SPARQL Protocol And RDF Query Language (SPARQL) Systems Architecture TensorFlow Terraform Workflows

Summary: The role of Python with Gen AI focuses on leveraging machine learning and natural language processing to solve business problems, particularly in the financial sector. The position requires expertise in MLOps and Python, along with a strong background in AI and ML technologies. The candidate will be responsible for building and maintaining MLOps pipelines and integrating AI systems into existing architectures. This is a remote position for a duration of 12 months, classified as outside IR35.

Key Responsibilities:

  • Build and maintain MLOps pipelines using tools like MLflow, Kubeflow, and SageMaker.
  • Apply machine learning techniques to solve business problems such as anomaly detection and regulatory reporting.
  • Design and implement agentic AI systems for workflows and reconciliations.
  • Ensure interoperability across domains by integrating semantic models into data mesh.
  • Contribute to the evolution of cloud-native architectures for scalability and resilience.

Key Skills:

  • MLOPS, Python
  • Strong background in ML/NLP, transformers, embeddings, supervised/unsupervised learning with hands-on skills in PyTorch, TensorFlow, and scikit-learn.
  • Experience with financial data standards and capital markets datasets.
  • Knowledge of explainable AI techniques such as SHAP and LIME.
  • Good knowledge of system architecture, object-oriented design, and design patterns.
  • Experience in designing cloud-native modular architectures.
  • Strong abstraction and modeling skills for integrating semantic models.
  • Exposure to holistic architectural thought processes.
  • Knowledge of real-time event-driven architectures and cloud platforms.
  • Understanding of secure compliant architectures for ML services.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Position: Python with Gen AI
Location: Remote

Duration: 12 Months

Skills

Mandatory Skills : MLOPS, Python

Core Skills

Must

  • AIML NLP Strong background in MLNLP transformers embeddings supervisedunsupervised learning with handson skills in PyTorch TensorFlow scikitlearn
  • MLOps Experience building and maintaining MLOps pipelines MLflow Kubeflow SageMaker for training deployment monitoring and ensuring fairnessbias controls
  • Financial Data Standards Familiarity with capital markets datasets and financial standards
  • Explainability XAI Knowledge of explainable AI SHAP LIME counterfactuals and ontologydriven traceability
  • Business Problem Solving Applying ML to business problems adverse media anomaly detection regulatory reporting QA
  • Good knowledge of system architecture objectoriented design and design patterns
  • Modern Platform Architecture Experience designing and evolving cloudnative modular and federated architectures for scale resilience and agility
  • Agentic AI Systems Ability to design and implement agentic AI systems CrewAI Autogen LangGraph MCP servers and multiagent orchestration for workflows reconciliations KYC regulatory
  • Integration Interoperability Strong abstraction and modelling skills integrating semantic models into data mesh and ensuring interoperability across domains
  • Should have had exposure of Architecture in the past which enhances the thought process to be more holistic

Good to have

  • Streaming EventDriven Execution Knowledge of realtime eventdriven architectures Kafka Redis Streams event sourcing
  • DevOps Cloud Engineering Proficiency in DevOps cloud platforms AWS ECS Azure Kubernetes and infrastructure as code Terraform CloudFormation
  • Security Compliance Understanding of secure compliant architectures and access control for ML services
  • Enterprise Data Science Strategy Ability to define and drive a global data science vision embedding agentic AI and semantic models into platforms
  • Semantic Data Mesh Ontologies Deep expertise in semantic data mesh ontologies FIBO ISDA CDM ISO20022 and multiagent frameworks
  • Knowledge Graphs Semantic Stack Proficiency in RDF OWL SPARQL SHACL and experience with knowledge graph databases Neptune Star dog Graph DB
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