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· Design, build, and deploy AI/ML solutions that integrate with enterprise data products, pipelines, and lakehouse architectures.
· Develop and operationalize machine learning models and AI services for use cases such as predictive analytics, anomaly detection, and automation.
· Design and implement Generative AI solutions using LLMs, including RAG architecture and prompt engineering.
· Collaborate with data engineers to embed AI capabilities into data pipelines and ensure seamless integration with data platforms (e.g., Fabric, Databricks).
· Partner with product owners, architects, and stakeholders to translate business needs into AI-driven solutions and reusable components.
· Enable AI readiness across DL&I data products by standardizing model integration, feature engineering, and inference patterns.
Job ID: 150866943
Skills:
Java, Cloud deployment, Deep Learning, Tensorflow, Azure ML, Nlp, Pytorch, Databricks, Azure, Python, AWS, Copilot studio, DataRobot, R, AI algorithms, GEnie, Azure Foundry
Skills:
Cloud Services, Apis, CSS, HTML, Javascript, Gcp, Azure, Python, AWS, data pipelines, vision analytics, Llm, AI services, data-processing workflows
Skills:
data engineering , PostgreSQL, Apache Spark, Sql, MLops, Pandas, automation solutions, Python, LangChain, Apache Iceberg, data pipelines, Polars, prompt engineering, LangGraph, AI automation, RAG pipelines, LLM-based applications, agentic frameworks, AI ML tooling
Skills:
Data Science, Machine Learning, Git, Restful Services, Api Integration, Python, Ai, Data Processing
Skills:
preprocessing , Machine Learning, Cnn, Tensorflow, Numpy, Nlp, Rnn, Pytorch, Docker, Flask, Python, AWS, Apis, Deep Learning, REST, Gcp, Pandas, FastAPI, Azure, Kubernetes, Etl, Data Pipelines, LLMs, Scikit-learn, Transformers, feature engineering, RAG frameworks, Llama, Claude, GPT
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