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Telecommute Automl Jobs (NOW HIRING)

Prodapt

Business Intelligence Analyst

Portland, OR · On-site

Telecommuting and working from home permitted from anywhere in the U.S. * Travel and relocation ... H2O, AutoML, RapidMiner, Rasa, cuDNN; * 3 years of experience with Statistical Modelling & ML ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Note, this is a purely telecommuting/work-from-home position whereby the employee may reside ... AutoML. 2. Advanced statistical modeling, machine learning techniques, including regression ...

CVS Health

Sr Machine Learning Engineer

Woonsocket, RI · On-site +1

$130K - $203K/yr

Leverage AutoML platforms for rapid prototyping and baseline model development. Conduct model ... Telecommuting available. Multiple Positions. Requirements: Master's degree (or foreign equivalent ...

CVS Health

Principal Data Engineer

Hartford, CT · On-site +1

$144K - $288K/yr

Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent ... Generative AI, AutoML, or Virtual AI Databases; Provide guidance on Large Language Model (LLM ...

CVS Health

Principal Data Engineer

Hartford, CT · On-site +1

$144K - $288K/yr

Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent ... Generative AI, AutoML, or Virtual AI Databases; • Provide guidance on Large Language Model (LLM ...

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Infographic showing various Telecommute Automl job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 2% Part Time, 5% Temporary, 3% Contract, and 4% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Business Intelligence Analyst

Business Intelligence Analyst

Prodapt

Portland, OR • On-site

Full-time

Posted 22 days ago

Job description

Overview
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Work® Certified™" company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
Responsibilities
  • Perform exploratory data analysis and provide various insights into customer data using domain knowledge that would bring more value to the business.
  • Leverage predictive analytics and AI/ML techniques to generate actionable insights for customer behavior, operational trends, and churn management.
  • Study key data from the customer, inventory, network and trouble management systems and provide recommendations on the solutions that can be built out of the provided dataset.
  • Build data ingesting pipelines and maintain them in big data ecosystems.
  • Correlate analysis with real-time data from the customer database using churn data.
  • Design, build, test, and tune machine learning models using Python and other tools, focusing on accuracy and ensuring that intelligence is consistent with defined needs.
  • Create solutions by comparing various Machine Learning algorithms that would best fit for the customer churn and use cases.
  • Build the Machine Learning models in tools such as RapidMiner application to predict customer churn using Python scripts.
  • Use algorithmic and logical approach to determine initial set of potential ML models based on the data and results generated.
  • Maintain and suggest tools and technologies for increased productivity.
  • Build and update business intelligence reports, databases, and dashboards to provide users with detailed intelligence.
  • Architect end-to-end Machine Learning Model Deployment and Data Versioning pipeline in a production environment to identify data patterns and trends.
  • Participate in model and algorithm deployment into production, which needs a separate pipeline built with support for monitoring and alerting.
  • Align code branches to be managed with the latest algorithms to be used for customer churn predictability.
  • Assure adherence to business intelligence standards, methodologies, and practice.
  • Maintain the project codes/ model versions using GIT/SVN version controlling tools.
  • Document all the project details and activities in the organization's Confluence pages.
  • Develop technical design documentation to ensure the accurate development of reporting solutions.
  • Create status reports on a weekly and monthly basis with an accurate assessment of the deliverables.
  • Work with the team on the various AI/ML technologies, and business intelligence systems and tools, perform tests, and work with project managers and team on project deliverables.
  • Attend project meetings and work on ad hoc project report requests.
  • Triage requirement gathering, identify business value for scenarios by working with product owners, and optimize data-driven decision making.
  • Utilize statistical concepts/methodologies to correlate inventory, network statistics, and trouble management systems.
  • Explore and integrate AI/ML and GenAI frameworks to enhance customer communications and operational insights, including IVR call analytics and AI-driven outage intelligence across digital and self-service channels.
  • Telecommuting and working from home permitted from anywhere in the U.S.
  • Travel and relocation possible to unanticipated client locations throughout the U.S.
  • Domestic travel required approximately 10% of the time to various client sites.

Requirements
  • Bachelor's degree or foreign equivalent in Computer Science, Data Sciences, or Information Systems and 3 years of experience in the job offered or 3 years of experience in the related occupations of Lead Engineer, Software Engineer, Application Developer, or equivalent.
  • Prior experience must include 3 years of experience with GenAI Technologies such as LLMs, Prompt Design, Prompt Engineering, LangChain, Hugging Face;
  • 3 years with AI/ML Technologies such as Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN;
  • 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series Analysis, Random Forests, Gradient Boosting, K-Means, KNN, Neural Networks;
  • 3 years of experience with Model Evaluation & Testing such as Accuracy, Precision, Recall, Cross-Validation, A/B Testing, Hypothesis Testing;
  • 3 years of experience with MLOps & Deployment such as Docker, Kubernetes (AKS), CI/CD, Model Monitoring, Data Versioning;
  • 3 years of experience with API & Backend Development such as REST APIs, FastAPI, Uvicorn;
  • 3 years of experience with Data Engineering & Orchestration such as Apache Airflow, Kafka, Flume, Hadoop, Drill;
  • 3 years with Data Visualization & BI Tools such as Matplotlib, Seaborn, Grafana, Power BI, Tableau, Superset;
  • 3 years with Databases & Data Warehouses such as Snowflake, PostgreSQL, Oracle, MySQL, HBase, Hive, SQL;
  • 3 years with Cloud Technologies such as Azure (OpenAI, AI Search, ML), AWS (S3, Athena), GCP (Dialog flow, Data Studio);
  • 3 years with DevOps & Collaboration Tools such as Git, Jira, Confluence, Azure DevOps;
  • 3 years with Operating Systems such as Windows, Linux.
  • Travel and relocation possible to unanticipated client locations throughout the U.S.
  • Domestic travel required approximately 10% of the time to various client sites.

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