Jobs via Dice

Data Scientist ( Machine Learning ) -12+ Months Contract To Hire-3 Days Onsite at Houston , Texas-Direct Customer.

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Machine Learning) on a 12+ month contract-to-hire basis, requiring 3 days onsite in Houston, Texas. Key skills include Python, SQL, LLMs, MLOps, and experience in deploying AI solutions in regulated environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Corp-to-Corp (C2C)
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Deployment #ML (Machine Learning) #Scala #Compliance #Data Science #Computer Science #NoSQL #Data Pipeline #Automation #Model Deployment #Cloud #Python #Monitoring #Security #Programming #AI (Artificial Intelligence) #SQL (Structured Query Language) #Databases
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Accion Labs, is seeking the following. Apply via Dice today! Greetings from Accion Labs, Our direct Client is looking for Data Scientist ( Machine Learning ) -12+ Months Contract To Hire-3 Days Onsite at Houston , Texas-Direct Customer. Primary Skills : APIs & Integration: RESTful APIs and enterprise system integrations, MLOps: Model deployment, monitoring, and CI/CD practices, Data: Structured and unstructured enterprise data, data pipelines,AI Patterns: Agent-based workflows, AI / Machine Learning: Large Language Models (LLMs) Responsibilities AI Solution & Agent Development • Design and implement LLM-powered applications, assistants, and agentic workflows • Apply prompt engineering, tool calling, and orchestration patterns • Translate business problems into scalable, AI-enabled solutions Data & RAG Architecture • Design data pipelines for ingestion, embeddings, and retrieval • Implement Retrieval-Augmented Generation (RAG) solutions • Optimize relevance, context management, and response quality Workflow Automation & Integration • Build AI-driven workflows with conditional logic and human-in-the-loop controls • Integrate AI solutions with enterprise data platforms, APIs, and internal systems Production Engineering & Deployment • Deploy AI models and applications using modern engineering practices • Ensure scalability, reliability, monitoring, and cost efficiency • Support CI/CD pipelines and cloud-native deployments Security, Governance & Responsible AI • Implement access controls, data protection, and PII handling • Support AI governance, auditability, and compliance requirements • Contribute to explainability, bias mitigation, and responsible AI practices Preferred Qualifications • Experience deploying AI or ML solutions in production environments • Strong understanding of LLM-based applications and agentic systems • Experience with RAG architectures and semantic search • Familiarity with MLOps, monitoring, and CI/CD practices • Experience working in enterprise or regulated environments Tech Stack Programming Languages: Python, SQL AI / Machine Learning: Large Language Models (LLMs), applied machine learning frameworks AI Patterns: Agent-based workflows, Retrieval-Augmented Generation (RAG) Data: Structured and unstructured enterprise data, data pipelines Infrastructure: Cloud platforms and containerized deployments MLOps: Model deployment, monitoring, and CI/CD practices Databases: Relational, NoSQL, and vector databases APIs & Integration: RESTful APIs and enterprise system integrations. Education: Bachelor s degree in computer science, information Systems, or related discipline. This role is open to W2 or those seeking Corp-Corp employment. The salary range for this role is 100-120 k/annum or Corp-Corp rates please contact the recruiter. In addition to other benefits, Accion Labs offers a comprehensive benefits package, with Accion covering 65% of the medical, dental, and Vision Premiums for employees, their spouses, and dependent children enrolling in the Accion-provided plans.