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What You Get to Do
Qualifications
• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or related field
• 10+ years of hands-on data science experience, with recent focus on GenAI/LLMs
• Proven track record of taking AI projects from prototype to production
• Strong experience with:
o LLM development and fine-tuning (e.g., GPT models, embedding models)
o Modern AI frameworks (PyTorch, Transformers, LangChain)
o Production ML deployment and monitoring
o Python development and API design
o Cloud platforms (AWS/Azure/GCP)
• Excellent communication skills and ability to work with diverse stakeholders
What Sets You Apart:
• Experience optimizing LLMs for production (cost, latency, scaling)
• Track record of maintaining AI systems in production
• Ability to balance innovation with practical business needs
• Experience with HR/people analytics domain
Job ID: 147322097
Skills:
data engineering , Machine Learning, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Data Analytics, Python, Computer Vision, GenAI, CNNs, Transformer-based architectures
Skills:
bedrock , Java, Cassandra, Scala, Kafka, API design, Tensorflow, Git, Pytorch, Spark, MongoDB, Kubernetes, Python, AWS, Data Privacy handling, Generative AI, EKS, SageMaker, Security Authentication and Authorization methods, Spark ML
Skills:
Java, Scala, Emr, Kotlin, Hive, Docker, Spark, Databricks, Python, AWS, Airflow, Flyte, EKS, SageMaker
Skills:
AWS, Pytorch, Tensorflow, Kubernetes, Python, Azure, Gcp, Docker, MLops, Kubeflow, MLflow, Scikit-Learn
Skills:
Java, Graphql, Oauth2, Prometheus, Jwt, Node.js, API design, Grafana, Datadog, REST, System Design, Kubernetes, OpenID Connect, Go, event-driven architectures, microservices architecture, cloud-native application development
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