26 years of experience in AI/ML development with a focus on large language models (LLMs).
Proficiency with Pydantic for data validation and LangChain frameworks for AI workflow orchestration.
Strong Python programming skills with experience using ML libraries such as PyTorch or TensorFlow.
Familiarity with model deployment monitoring and cloud environments (AWS preferred including SageMaker EC2 S3).
Experience working with databases for ML workflows such as PostgreSQL Redis or specialized vector databases (e.g. Pinecone Weaviate).
Ability to participate in architectural discussions involving AI model integration scalable infrastructure design and data pipeline optimization.
Topnotch communication skills both written and verbal.
Ability to collaborate effectively across multidisciplinary teams.
Responsibilities:
Design develop and optimize AI/ML models particularly large language models (LLMs) to address businessspecific use cases.
Utilize LangChain to orchestrate AI workflows and integrate them into scalable production pipelines.
Implement Pydantic for data parsing and validation within ML applications.
Build and maintain robust machine learning systems using Python with a strong grasp of PyTorch or TensorFlow frameworks.
Deploy and monitor models in production environments leveraging AWS services such as SageMaker EC2 and S3.
Develop and maintain scalable and efficient data pipelines incorporating PostgreSQL Redis and vector databases like Pinecone or Weaviate.
Participate in architectural design discussions for AI model integration data flow optimization and infrastructure scalability.
Collaborate closely with crossfunctional teams including data engineers backend developers and product managers to ensure seamless integration of AI components.
Contribute to code reviews documentation and best practices to uphold high engineering standards.
Communicate complex AI concepts and results effectively to both technical and nontechnical stakeholders.
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