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Vetted Data & Analytics Professionals in Remote
Pre-screened and vetted in Remote.
Popular Titles
Mid-level AI/MLOps Engineer specializing in GenAI, RAG, and production ML platforms
Mid-level Data Engineer specializing in healthcare data platforms and streaming CDC pipelines
Senior Data Scientist specializing in Generative AI and NLP
Mid-level Data Scientist specializing in NLP, MLOps, and cloud-deployed ML systems
Mid-level Data Engineer specializing in streaming pipelines and cloud data platforms
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Mohan Naik Megavath
Mid-level Data Engineer specializing in real-time pipelines and cloud data platforms
“Backend engineer with hands-on experience building secure Python/Flask services (sessions, JWT, RBAC) and optimizing PostgreSQL/SQLAlchemy performance, including custom SQL using CTEs/window functions profiled via EXPLAIN ANALYZE. Also integrates LLM features via OpenAI/Azure into backend systems and improves scalability with RabbitMQ-driven async processing, caching, and multi-tenant data isolation patterns.”
Hrishikesh Raghunath
Mid-level Data Engineer specializing in scalable ETL, streaming analytics, and cloud data platforms
“At Dreamline AI, built and productionized an AWS-based incentive intelligence platform that uses Llama-2/GPT-4 to extract eligibility rules from unstructured state policy documents into structured JSON, then processes them with Glue/PySpark and serves results via Lambda/SageMaker/API Gateway. Designed state-specific ingestion connectors plus schema validation and automated checks/alerts to handle frequent policy/format changes without breaking the pipeline, and partnered with business/analytics stakeholders to deliver interpretable eligibility decisions via explanations and dashboards.”
Mid-level Data Engineer specializing in financial risk, compliance, and real-time streaming
Data Analyst and Software Developer specializing in cloud data pipelines and BI dashboards
Mid-level Data Scientist specializing in credit risk, NLP, and ML platforms
Mid-level Data Analyst specializing in healthcare and financial services analytics
Mid-level Data Scientist specializing in GenAI, LLMs, and MLOps
Mid-level Data Scientist specializing in AI/ML for finance and investment analytics
Mid-level Data Engineer specializing in Azure ETL/ELT and telecom analytics
Mid-level Marketing Data Analyst specializing in AI-driven campaign optimization
Mid-level Data Scientist specializing in LLMs, RAG, and ML systems for finance and healthcare
Mid-level Data Analyst specializing in BI, Snowflake, and financial and healthcare analytics
Junior Customer Success Business Analyst specializing in B2B SaaS analytics and retention
BHEEMA SABILLA
Mid-level Data Engineer specializing in Lakehouse, Streaming, and ML/LLM data systems
“Built and productionized an enterprise retrieval-augmented generation platform for internal knowledge over large unstructured corpora, emphasizing trust via strict citation/grounding and hybrid retrieval (BM25 + FAISS + cross-encoder re-ranking). Demonstrates strong scaling and cost/latency optimization through incremental indexing/embedding and index partitioning, plus disciplined evaluation/observability practices. Has experience operationalizing pipelines with Airflow/Databricks/GitHub Actions and partnering closely with risk & compliance stakeholders on auditability requirements.”