What are the responsibilities and job description for the Python with Gen AI - / Data Scientist position at MSR Cosmos?
Title: Python with Gen AI - / Data Scientist
Location: Remote
Duration: Long Term
Min Experience 10 years
Skills
Mandatory Skills : MLOPS, Python, Gen AI, ML
Requirement
- 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 EventDriven 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 Stardog Graph DB
Thanks
Ramesh
ramesh.u(at)msrcosmos(dot)com