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Vetted Scala Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLM, RAG, and conversational AI systems
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Senior Data Engineer/Data Scientist specializing in ML platforms, cloud data, and blockchain analytics
Senior Lead Data Engineer specializing in cloud data platforms and real-time ML pipelines
Mid-level Machine Learning Engineer specializing in Generative AI, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-Level Software Engineer specializing in distributed systems and AI/ML
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Junior AI Engineer specializing in LLM systems, RAG, and production data pipelines
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Mid-Level Software Engineer specializing in distributed systems and event-driven microservices
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation
Senior Backend Engineer specializing in cloud-native microservices and AI integrations
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps
Junior Software Engineer specializing in backend systems, QA automation, and AI/ML
Alexis Abbott
Senior Python Developer specializing in AWS, microservices, and data pipelines
“Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.”
Chandini Sattineni
Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations
“Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.”