Sr. Python AI/ML Engineer
Sr. Python AI/ML Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Job Responsibilities:
- Understand the Business End to End.
- Understand the Application Architecture.
- Responsible for Designing and building Applications.
- Understand the project timelines and deadlines.
- Provide Impact analysis for new requirements or changes.
- Responsible for low level design with the team.
- Convey architectural solutions to all levels of professionals and leaders.
- Ensure Code Quality and Deliverables.
- Lead the team and deliverables -Prioritize work with stakeholders.
- Understand and follow the current Code Build and Deployment patterns across all environments.
- Perform checkouts of the code deployments before the QA starts testing.
- Support continuous improvement investigating alternatives and technologies and presenting for architectural review.
- Develop and Mentor Junior Developers.
- Plan and prepare to support PI planning Events.
- Work breakdown by stories for development.
- Accurate work Estimation and commitment to timelines and deadlines.
- Identify dependencies and communication.
Skills and Experience Required:
Required
- Expert-level Python development with a focus on production-grade microservices
- Proficient in Python dependency management and packaging for scalable services
- Strong experience in structured logging exception handling
- Experience with observability using tools like CloudWatch Open Telemetry Prometheus or others
- Deep familiarity with OpenAI APIs (chat/completions function calling embeddings)
- Experience designing multi-agent architectures where each agent handles distinct data sources or functional areas
- Data Science & ML Skills
- Ability to query aggregate understand and potentially augment large datasets using platforms like Databricks PySpark or SQL
- Practical experience in using machine learning and rule-based logic to identify trends or classify behavior
- Familiarity with RAG architecture and vector similarity search using tools like FAISS pgvector or Pinecone
- Familiarity with FastAPI LangChain or similar frameworks for GenAI orchestration
Desired
- Expertise in integrating and orchestrating multiple backend APIs including dynamic payload creation and conditional routing logic
- Proficient in implementing OAuth2 with JWT for secure API authentication and service-to-service communication
- Strong understanding of security best practices for sensitive data handling
- Cloud & Deployment Skills
- Experience with AWS services (Lambda ECS API Gateway S3 Secrets Manager Bedrock SageMaker) or other cloud providers
- Experience with OpenShift or Kubernetes for deploying and scaling containers
- Familiar with CI/CD pipelines using GitHub Actions Jenkins or AWS CodePipeline
- Knowledge of infrastructure-as-code using Terraform Helm or similar tools
- Prior work with intelligent Gen AI assistants or in-app AI integration use cases
- Experience building event-driven systems or real-time insights dashboards.
Employment Type
Full-time
