Pre-screened and vetted.
Senior Software QA Analyst specializing in streaming, OTT, and mobile platforms
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mid-level QA Automation Engineer specializing in test automation and CI/CD
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Senior Full-Stack Software Engineer specializing in cloud-native Java microservices
Mid-level Data Analytics Engineer specializing in ETL pipelines and BI dashboards
Mid-level Data Analyst specializing in healthcare and financial analytics
Senior Power BI Developer specializing in healthcare and financial analytics
Mid-level Data Analyst specializing in financial, operational, and regulatory reporting
Senior AI Engineer specializing in healthcare AI and full-stack intelligent systems
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Mid-level Salesforce Developer specializing in enterprise CRM and integrations
Mid-level Software Engineer specializing in distributed backend systems for FinTech
Senior Salesforce Developer specializing in CRM, Service Cloud, CPQ, and AI automation
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Mid-level AI/ML Engineer specializing in LLMs, GenAI, and NLP
“AI/ML Engineer who built a production RAG-based LLM system for insurance policy documents, turning thousands of messy PDFs into a searchable index using LangChain, Azure AI Search vectors, hybrid retrieval, and FastAPI. Strong focus on evaluation (MRR/precision@k/recall@k, REGAS) and performance optimization (vLLM), with prior clinical NLP experience using BERT-based NER validated on ground-truth datasets.”
Mid-level Data Analyst specializing in AWS-based ETL, churn analytics, and BI dashboards
“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”
Mid-Level Full-Stack Java Developer specializing in microservices, cloud, and AI integration
“Backend engineer working on high-volume insurance claims intake systems who shipped a production GenAI document-classification capability in Spring Boot microservices. Emphasizes reliability in LLM systems (strict schemas, confidence thresholds, monitoring, and manual-review fallbacks) and runs evaluation loops with labeled historical documents to drive prompt/validation improvements and reduce manual review.”