Pre-screened and vetted.
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-level Software Engineer specializing in backend APIs and data pipelines
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Mid-level AI Software Engineer specializing in healthcare and agentic systems
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”
Entry-level Software Engineer specializing in backend and cloud systems
“Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems
“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
“Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.”
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Intern Software Engineer specializing in AI/ML and data-driven web tools
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation
Mid-level Data Scientist & AI Engineer specializing in NLP, computer vision, and MLOps
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Junior Software Engineer specializing in backend microservices and cloud-native systems
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing