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Vetted Amazon Redshift Professionals
Pre-screened and vetted.
Executive Software Engineering Leader specializing in scalable SaaS and distributed systems
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
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 Data Scientist specializing in ML, MLOps, and applied risk modeling
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Senior DevOps/Cloud Engineer specializing in multi-cloud infrastructure and CI/CD automation
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
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.”
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration
Director-level Development Manager specializing in AWS cloud and DevOps
Senior Data Engineer specializing in forecasting, analytics platforms, and BI