Python with Gen AI - 100% Remote - W2 only

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