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Vetted Apache Hadoop Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in healthcare risk prediction and GenAI
Mid-level Data Scientist specializing in NLP, risk analytics, and MLOps
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and Generative AI
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and cloud transformation
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Data Engineer specializing in cloud data pipelines and analytics (AWS/Azure)
Mid-level Data Engineer specializing in cloud ETL, streaming, and ML-ready data pipelines
Mid-level Data Engineer specializing in big data pipelines and cloud data platforms
Senior Data Scientist specializing in ML engineering and cloud analytics
Junior Data Engineer and Full-Stack Developer specializing in AI and data platforms
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”