Lead Developer, AI ML
Tasks
- Advocate responsible AI
- Architect end-to-end AI platforms
- Build pipelines with Java Python
- Contribute reusable assets
- Define API standards
- Design retrieval pipelines
- Engage with industry partners
- Establish ML system governance
- Evaluate emerging AI technologies
- Guide cloud deployments
- Lead AI/ML solution design
- Lead LLM fine-tuning deployment
- Manage technical roadmap
- Mentor development teams
- Mentor engineers data scientists architects
- Optimize embeddings retrieval
- Translate requirements into designs
Perks/Benefits
Skills/Tech-stack
Azure ML | Cassandra | DJL | DVC | Databricks MLlib | Docker | Elasticsearch | FastAPI | Flask | GRPC | Helm | Hibernate | Hugging Face | Hugging Face Transformers | Istio | JPA | Java | Kafka | Kubernetes | LangChain4J | Langchain | Langgraph | Linkerd | Lucene | MLflow | Micronaut | MongoDB | NoSQL | ONNX Runtime | OpenSearch | PGVector | Pinecone | PostgreSQL | PyTorch | Python | Quarkus | REST | Redis | SQL | SageMaker | Scikit-learn | Spark | Spring Boot | TensorFlow | Terraform | Vertex AI | Weaviate
Education
Roles
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