Pre-screened and vetted in Remote.
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Senior Data Scientist specializing in ML, NLP, and GenAI analytics
“Built and deployed an LLM-powered analytics assistant enabling business users to ask questions in plain English and receive validated Spark SQL executed in Databricks, with a Streamlit/Flask UI. Addressed strict client schema-privacy constraints by implementing a RAG strategy and ultimately leveraging AWS Bedrock and fine-tuned reference docs. Also has production ML pipeline experience using Docker + Airflow and AWS (S3/ECS/EC2) for financial classification models.”
Entry-Level Software Engineer specializing in Machine Learning and AI
“Master’s-level candidate with an academic project portfolio, including ownership of a Python-based video game recommendation system using unsupervised clustering. Has hands-on experience designing the system approach and validating recommendation quality with test cases, plus teaching assistant experience instructing Git/GitHub workflows; limited exposure to Kubernetes, GitOps, and large-scale infrastructure.”
Mid-Level Software Engineer specializing in AI, LLM evaluation, and full-stack development
Mid-Level Software Engineer specializing in backend, cloud, and automation
Mid-level Data Analyst specializing in AML, fraud detection, and cloud data pipelines
Entry-Level Machine Learning Engineer specializing in Generative AI and RAG systems
Senior Visual Designer specializing in branding and global marketing campaigns
Intern Data Scientist specializing in LLM agents, RAG, and real-time ML pipelines
Mid-level Frontend Engineer specializing in React/Next.js and scalable web platforms
Intern Software Engineer specializing in AI, computer vision, and VR
“Robotics software engineer with hands-on experience integrating vision-based perception with control logic in ROS simulation environments. Focused on debugging real-time timing/data-flow issues, improving system stability through incremental scenario testing in Gazebo, and supporting reliable deployments with Docker and basic CI/CD automation.”