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Senior ML & Automation Engineer
Dodge Construction NetworkSenior ML & Automation Engineer designing and operating AI-driven pipelines for data acquisition and validation at Dodge Construction Network. Collaborating with Data Engineering and Operations for scalable solutions.
Tech Stack
Tools & technologiesAmazon RedshiftAWSETLMicroservicesPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design and operate AI-powered pipelines that transform data acquisition, enrichment, and validation.
- Partner with Data Engineering and Operations to move pipelines from prototype to production.
- Design, develop, and evaluate machine learning models for data enrichment and validation.
- Implement OCR, NLP, and layout recognition pipelines for data extraction.
- Build Python-based microservices for document classification and metadata extraction.
- Integrate LLM APIs for intelligent extraction and task classification.
- Monitor and optimize model performance tracking.
- Design and implement conversational AI solutions with Amazon Connect and Amazon Lex.
- Build automated calling workflows for project updates from contractors.
- Ensure compliance with regulations for outbound communications.
- Collaborate with Data Engineers to ensure seamless ML pipeline integration with data warehouses.
Requirements
What you’ll need- 5+ years of experience in machine learning, automation engineering, or a closely related discipline
- Proficiency in Python with hands-on experience using ML libraries (scikit-learn, spaCy, TensorFlow, or PyTorch) and production API integration
- Hands-on experience with OCR frameworks — Tesseract, PaddleOCR, AWS Textract, or Google Document AI
- Demonstrated experience implementing AWS Connect solutions — including contact flow design, Amazon Lex bot development, and IVR configuration
- Practical knowledge of LLM APIs (AWS Bedrock, OpenAI, Anthropic, or equivalent) for production extraction or classification workloads
- Familiarity with document layout analysis tools (LayoutLM, Donut, DocTR, or similar)
- Strong knowledge of entity extraction, NER, regex-based parsing, and rules-based approaches
- Experience with entity resolution, deduplication, or fuzzy record matching at scale
- Strong knowledge of data pipelines and ETL frameworks; experience deploying and monitoring ML models in production
- Solid understanding of relational databases and SQL; experience with large-scale warehouses (Redshift, Snowflake, or similar)
- Awareness of outbound communication compliance (TCPA, Do Not Call regulations) in automated or AI-driven calling contexts
- Strong problem-solving skills with the ability to translate operational business needs into ML and automation solutions.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Dodge Construction Network Website LinkedIn All Job Openings 501 - 1000 employees Founded 1891 🤝 B2B ☁️ SaaS 🏪 Marketplace B2B
- SaaS
- Marketplace Dodge Construction Network is a provider of construction market intelligence and digital connection tools that help contractors, architects, engineers, manufacturers and suppliers find projects, manage bids, and connect with decision-makers. The company delivers a searchable directory of projects, plans, specs, product/manufacturer data and BIM objects, verified RFP/RFQ leads, forecasting and analytics, and consulting services through SaaS platforms and data-driven solutions to support business growth across commercial and residential construction markets. Senior ML & Automation Engineer Job not on LinkedIn 🔥 0 minutes ago 🇮🇳 India – Remote ⏰ Full Time 🟠 Senior 🤖 QA Automation Engineer Amazon Redshift AWS ETL Microservices Python PyTorch Scikit-Learn SQL Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design and operate AI-powered pipelines that transform data acquisition, enrichment, and validation.
- Partner with Data Engineering and Operations to move pipelines from prototype to production.
- Design, develop, and evaluate machine learning models for data enrichment and validation.
- Implement OCR, NLP, and layout recognition pipelines for data extraction.
- Build Python-based microservices for document classification and metadata extraction.
- Integrate LLM APIs for intelligent extraction and task classification.
- Monitor and optimize model performance tracking.
- Design and implement conversational AI solutions with Amazon Connect and Amazon Lex.
- Build automated calling workflows for project updates from contractors.
- Ensure compliance with regulations for outbound communications.
- Collaborate with Data Engineers to ensure seamless ML pipeline integration with data warehouses. 🎯 Requirements
- 5+ years of experience in machine learning, automation engineering, or a closely related discipline
- Proficiency in Python with hands-on experience using ML libraries (scikit-learn, spaCy, TensorFlow, or PyTorch) and production API integration
- Hands-on experience with OCR frameworks — Tesseract, PaddleOCR, AWS Textract, or Google Document AI
- Demonstrated experience implementing AWS Connect solutions — including contact flow design, Amazon Lex bot development, and IVR configuration
- Practical knowledge of LLM APIs (AWS Bedrock, OpenAI, Anthropic, or equivalent) for production extraction or classification workloads
- Familiarity with document layout analysis tools (LayoutLM, Donut, DocTR, or similar)
- Strong knowledge of entity extraction, NER, regex-based parsing, and rules-based approaches
- Experience with entity resolution, deduplication, or fuzzy record matching at scale
- Strong knowledge of data pipelines and ETL frameworks; experience deploying and monitoring ML models in production
- Solid understanding of relational databases and SQL; experience with large-scale warehouses (Redshift, Snowflake, or similar)
- Awareness of outbound communication compliance (TCPA, Do Not Call regulations) in automated or AI-driven calling contexts
- Strong problem-solving skills with the ability to translate operational business needs into ML and automation solutions. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs UiPath Automation Developer 🕒 Yesterday PAteam 51 - 200 🤖 Artificial Intelligence ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings UiPath Automation Developer designing, developing, and deploying automation solutions for production at PAteam. Collaborating with IT teams and mentoring junior developers in a fully remote setting. 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 QA Automation Engineer .NET Python Automation Engineer 🕒 Yesterday Miratech 501 - 1000 Website LinkedIn All Job Openings Python Automation Engineer supporting automation and API integration in a global IT services company. Collaborating with teams on modernization initiatives and cloud-based environment migration. 🇮🇳 India – Remote 💰 Private Equity Round on 2022-04 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 QA Automation Engineer AWS Azure Cloud Django Flask JavaScript Linux Pandas Postgres Python Tableau Voice Test Automation Engineer 🕒 2 days ago Calix 1001 - 5000 📡 Telecommunications ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Automation Voice Test Engineer executing testing of voice protocols on Calix platforms. Collaborating with development teams to ensure high-quality releases and continuous process improvement. 🇮🇳 India – Remote 💰 $50M Venture Round on 2009-08 ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 QA Automation Engineer Python DBA – Reliability and Automation Engineer 🕒 May 13 Ford Motor Company 10,000+ employees 🚗 Transport Website LinkedIn All Job Openings Senior Database Reliability Engineer responsible for database health and scalability. Applying software engineering principles to database operations with advanced automation and observability tools. 🇮🇳 India – Remote 💰 Post-IPO Debt on 2023-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 QA Automation Engineer Ansible Cloud Docker Kubernetes MongoDB Postgres Python Redis SQL Terraform Go Integration and Automation Engineer 🕒 May 8 Outsourced Pro Global 51 - 200 🎯 Recruiter 🤝 B2B Website LinkedIn All Job Openings HubSpot Integrations & Automation Engineer developing and optimizing API integrations and automation systems. Collaborating with global teams using HubSpot CRM and Google Cloud Platform. 🇮🇳 India – Remote 💵 ₹90k - ₹95k / month ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 QA Automation Engineer Cloud Firebase Google Cloud Platform JavaScript Node.js TypeScript View More QA Automation Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
machine learningautomation engineeringPythonscikit-learnspaCyTensorFlowPyTorchOCRNLPdata pipelines
Soft Skills
problem-solvingcollaborationcommunicationoperational needs translation