Python with Gen AI - / Data Scientist

Job Title : Python with Gen AI - / Data Scientist

Job Location : US - Remote

Job Type : Contract

Job Description :

AIML NLP Strong background in MLNLP transformers embeddings supervised unsupervised learning with handson skills in PyTorch TensorFlow scikit learn

MLOps Experience building and maintaining MLOps pipelines MLflow Kubeflow SageMaker for training deployment monitoring and ensuring fairness bias controls

Financial Data Standards Familiarity with capital markets datasets and financial standards

Explainability XAI Knowledge of explainable AI SHAP LIME counterfactuals and ontology driven traceability

Business Problem Solving Applying ML to business problems adverse media anomaly detection regulatory reporting QA

Good knowledge of system architecture object oriented 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 Lang Graph 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 Event Driven Execution Knowledge of realtime event driven 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