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Lead AI Engineer
We're looking for a talented AI Engineer who is passionate about building real-world AI solutions that drive impact. In this role, you'll design and implement cutting-edge AI/ML systems, work with modern generative AI models, and help shape intelligent workflows that power business outcomes.
If you enjoy experimenting with emerging AI technologies, building scalable solutions on cloud platforms, and working across diverse model ecosystems—this role is for you.
What You'll Do
What We're Looking For
Nice to Have
What Makes You a Great Fit
What We Offer
Job ID: 149318643
Skills:
snowflake , Sql, Git, Gcp, Docker, FastAPI, Azure, Python, AWS, CrewAI, LangChain, LLMs, Semantic Kernel, LangGraph, Dataiku, LlamaIndex
Skills:
Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, Autoencoders, Pytorch, Python, Computer Vision, Generative AI, Fine-tuning mechanisms, Adapter training, Multi-task learning, Generative modeling techniques, Hyperparameter Optimization, Transformer architectures, diffusion
Skills:
snowflake , Sql, Amazon CloudWatch, AWS, Python, Docker, Git, LangSmith, API frameworks, Langfuse, MLflow, LLM systems, Snowpark, Snowflake Cortex, OpenTelemetry, Amazon Bedrock, AgentCore, LangChain, LangGraph
Skills:
snowflake , Apis, AWS Glue, Microservices, Sql, ELT, Angular, React, Azure Data Factory, Distributed Systems, Databricks, Python, Etl, Generative AI, RAG embeddings, Agentic AI frameworks, LLMs, vector databases
Skills:
Tableau, Tensorflow, Numpy, Pytorch, Python, Matplotlib, Power Bi, Pandas, Databricks, Keras, AWS Bedrock, Azure OpenAI, LangGraph, Vector Databases, Multi-Agent Systems, Google Vertex AI, OpenAI Assistants, CrewAI, LangChain, Generative AI, Plotly, Scikit-learn, Semantic Kernel, AutoGen, Agentic AI, RAG, MCP, Azure AI
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