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Build and deploy data science and ML models in Python to modernize government missions, using libraries like scikit-learn and TensorFlow on AWS.
Build and maintain ML models and pipelines for document processing and AI agents using Python, LLMs, and libraries like PyTorch and scikit-learn.
Build and evaluate NLP models using Python, PyTorch/TensorFlow, and Hugging Face Transformers to classify text and extract insights for government-focused missions.
Builds and scales Complexio’s AI-driven automation platform using Python, JavaScript, and cloud-native tools to orchestrate enterprise workflows.
Analyze voice-assistant conversations and other data to build datasets, train and test ML models for intent classification and entity extraction, and monitor model performance in production.
Build and deploy transformer-based generative AI models and NLP pipelines for PitchBook’s financial data platform using PyTorch, LangChain, and vector databases.
About Tekmetric Tekmetric is the all-in-one, cloud-based software helping auto repair shops run smarter, grow faster, and serve customers better. Built by a shop owner and shaped by the needs of the industry, Tekmetric…
Build and scale web scrapers and data pipelines in Python to extract, clean, and index auto-repair data for search using Elasticsearch, Spark, and AWS.
Design and deploy GenAI solutions (RAG, LLMs) with Python and ML libraries, collaborating with stakeholders to solve business use cases while ensuring data security and compliance.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and deploy LLM-based AI solutions for customer support, including voice/text agents, while optimizing ML infrastructure and MLOps pipelines on AWS/Databricks.
Builds and scales an AI-driven platform that ingests enterprise data, maps workflows, and automates complex processes using Python, JavaScript, and cloud-native tools.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Senior back-end engineer building scalable RegTech and compliance automation using Python/Django, ElasticSearch, and AI-driven tools to streamline maritime trade counterparty onboarding and risk assessment.
Build and improve NLP models for text-based tasks like classification and sentiment analysis using Python and libraries such as NLTK, SpaCy, and Transformers.
Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Design, fine-tune, and deploy LLMs to automate business processes in a manufacturing environment, collaborating with cross-functional teams to scale AI solutions into production.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Build and deploy AI/ML systems for finance, using LLMs, prompt engineering, and neural networks with Python, TensorFlow/PyTorch, and cloud platforms.
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