Home › Companies › Brillio 2 › ML Architect/ Data Scientist (Inventory Forecasting) - R01563519

ML Architect/ Data Scientist (Inventory Forecasting) - R01563519

Brillio 2 · Dallas, Texas, United States · Hybrid · Deleted · $150,000–$160,000 / year · Lever

Job facts

Field	Value
Company	Brillio 2
Title	ML Architect/ Data Scientist (Inventory Forecasting) - R01563519
Normalized title	-
Department / team	AI & Data Engineering / AI & Data Engineering : Data Science
Location	Dallas, TX, United States
Work model	Hybrid / Hybrid
Employment type	Third Party Contract
Salary	$150,000–$160,000 / year
Status	deleted
ATS provider	Lever
Posted / first seen	2026-04-20 / 2026-05-29
Changed / last seen	2026-06-06 / 2026-06-03

Related slices

Page	What it contains	Open
Company jobs	Active postings from Brillio 2.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Lever.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Dallas.	Open
Department jobs	Active postings in AI & Data Engineering.	Open
Work model jobs	Active Hybrid postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Brillio 2
Source	8dec4a9c-f965-4413-9dbd-4366a88c56a5
ATS provider	Lever

Description

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Architect Know what it’s like to work and grow at Brillio: Click here Primary Skills Azure API Management, Solution Architecture - Azure, Azure DevOps, Azure Storage Queues, Azure PaaS Services, Azure Networking, Azure Logic Apps, Azure Content Delivery Network, Azure App Service, Azure SQL, Azure AD, Azure Virtual Machines Specialization Azure Architecture: Architect Job requirements Job Title: Machine Learning Engineer / Data Scientist (Inventory Forecasting) Location: Florida (FL) Job Summary: We are seeking a skilled Machine Learning Engineer / Data Scientist with strong experience in classical machine learning techniques and inventory forecasting. The ideal candidate will have hands-on expertise in time series modeling and a good understanding of modern cloud-based ML platforms, particularly Azure AutoML. Experience working with or building agentic (AI-driven autonomous or semi-autonomous) solutions is highly desirable. Key Responsibilities: Develop and implement forecasting models for inventory and demand planning using classical time series techniques such as ARIMA, SARIMA, and related methods. Analyze large datasets to identify trends, seasonality, and patterns impacting inventory and supply chain performance. Build, train, and deploy machine learning models using Azure AutoML and other Azure-based services. Design and implement scalable, production-ready ML solutions in a cloud environment. Collaborate with cross-functional teams including business stakeholders, data engineers, and product teams to deliver actionable insights. Explore and contribute to agentic AI solutions, including automation and intelligent decision-making systems. Monitor model performance and continuously improve accuracy and efficiency. Required Skills & Qualifications: Strong experience in classical machine learning and time series forecasting (ARIMA, SARIMA, etc.). Solid understanding of inventory forecasting, demand planning, or supply chain analytics. Hands-on experience with Azure AutoML and Azure ML ecosystem. Proficiency in Python and common ML libraries (e.g., pandas, scikit-learn, statsmodels). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deploying ML models in production environments. Preferred Qualifications: Experience in building or working with agentic/AI-driven autonomous systems. Familiarity with MLOps practices and CI/CD pipelines. Experience with big data technologies and distributed computing frameworks. Strong problem-solving skills and ability to work in a collaborative environment. Work Model: Hybrid work setup based in Florida (FL). Nice to Have: Experience in retail, e-commerce, or supply chain domains. Exposure to advanced forecasting techniques or deep learning-based time series models. #LSR1

Full job record

Job ID	3404c59bc0cbb1f16d630168779d3b36ada5e168
Org ID	717b76e6-2650-4b68-8dcc-07a5191937f7
Source ID	8dec4a9c-f965-4413-9dbd-4366a88c56a5
Board ID	8dec4a9c-f965-4413-9dbd-4366a88c56a5
Provider	lever
Provider Job Key	9126b904-4364-4640-a9e5-1a88e284cc91
Title	ML Architect/ Data Scientist (Inventory Forecasting) - R01563519
Normalized Title	—
Status	deleted
Active	no
Location Text	Dallas, Texas, United States
Department	AI & Data Engineering
Team	AI & Data Engineering : Data Science
Employment Type	Third Party Contract
Workplace Type	hybrid
Remote Policy	hybrid
Country	United States
Region	TX
City	Dallas
Salary Raw	USD 150000-160000 per-year-salary
Salary Min	150,000
Salary Max	160,000
Salary Currency	USD
Salary Period	year
Source URL	https://jobs.lever.co/brillio-2/9126b904-4364-4640-a9e5-1a88e284cc91
Apply URL	https://jobs.lever.co/brillio-2/9126b904-4364-4640-a9e5-1a88e284cc91/apply
First Seen At	2026-05-29 07:00:55Z
Last Seen At	2026-06-03 12:28:28Z
Last Checked At	2026-06-06 07:56:23Z
Last Changed At	2026-06-06 07:56:23Z
Inactive At	2026-06-06 07:56:23Z
Source Posted At	2026-04-20 09:54:47Z
Source Updated At	—
Raw Payload Uri	s3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=brillio-2/date=2026-06-03/2026-06-03T12-28-27-638Z-ff43a7e2dbfb2b3605edf920d83300e487c0ebe724ccdbc544519449a6654923.json

Event Fields

{
  "content_hash": "f1468c9ac7c84a9c3c8283b0dd19cdab12759f7ebf95b5da9da72fb9a7a689fe",
  "source_hash": "4d6cff0e7b382e832c886c0e835e66235bf8926ea1650db9436399b135a14ce2",
  "last_changed_at": "2026-06-06T07:56:23.698Z",
  "active_status": "deleted"
}

Parsed Structured

{
  "language": "en",
  "location": {
    "raw": "Dallas, Texas, United States",
    "city": "Dallas",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": 160000,
  "salary_min": 150000,
  "inferred_at": "2026-06-03T12:28:28.150Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Dallas, Texas, United States",
      "city": "Dallas",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

Extensions

{}

Native Structured

{
  "lists": [
    {
      "text": "Primary Skills",
      "content": "\n<li>Azure API Management, Solution Architecture - Azure, Azure DevOps, Azure Storage Queues, Azure PaaS Services, Azure Networking, Azure Logic Apps, Azure Content Delivery Network, Azure App Service, Azure SQL, Azure AD, Azure Virtual Machines</li>\n"
    },
    {
      "text": "Specialization",
      "content": "\n<li>Azure Architecture: Architect</li>\n"
    },
    {
      "text": "Job requirements",
      "content": "<div>\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Job Title:</strong> Machine Learning Engineer / Data Scientist (Inventory Forecasting)</p>\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Location:</strong> Florida (FL)&nbsp;</p>\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Job Summary:</strong><br>We are seeking a skilled Machine Learning Engineer / Data Scientist with strong experience in classical machine learning techniques and inventory forecasting. The ideal candidate will have hands-on expertise in time series modeling and a good understanding of modern cloud-based ML platforms, particularly Azure AutoML. Experience working with or building agentic (AI-driven autonomous or semi-autonomous) solutions is highly desirable.</p>\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Key Responsibilities:</strong></p>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Develop and implement forecasting models for inventory and demand planning using classical time series techniques such as ARIMA, SARIMA, and related methods.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Analyze large datasets to identify trends, seasonality, and patterns impacting inventory and supply chain performance.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Build, train, and deploy machine learning models using Azure AutoML and other Azure-based services.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Design and implement scalable, production-ready ML solutions in a cloud environment.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Collaborate with cross-functional teams including business stakeholders, data engineers, and product teams to deliver actionable insights.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Explore and contribute to agentic AI solutions, including automation and intelligent decision-making systems.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Monitor model performance and continuously improve accuracy and efficiency.</li>\n\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Required Skills &amp; Qualifications:</strong></p>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Strong experience in classical machine learning and time series forecasting (ARIMA, SARIMA, etc.).</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Solid understanding of inventory forecasting, demand planning, or supply chain analytics.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Hands-on experience with Azure AutoML and Azure ML ecosystem.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Proficiency in Python and common ML libraries (e.g., pandas, scikit-learn, statsmodels).</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Experience with data preprocessing, feature engineering, and model evaluation.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Knowledge of deploying ML models in production environments.</li>\n\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Preferred Qualifications:</strong></p>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Experience in building or working with agentic/AI-driven autonomous systems.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Familiarity with MLOps practices and CI/CD pipelines.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Experience with big data technologies and distributed computing frameworks.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Strong problem-solving skills and ability to work in a collaborative environment.</li>\n\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Work Model:</strong></p>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Hybrid work setup based in Florida (FL).</li>\n\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\"><strong>Nice to Have:</strong></p>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Experience in retail, e-commerce, or supply chain domains.</li>\n<li style=\"margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">Exposure to advanced forecasting techniques or deep learning-based time series models.</li>\n\n<p style=\"margin: 0in 0in 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;\">#LSR1</p>\n</ul></ul></ul></ul></ul></div>"
    }
  ],
  "country": "US",
  "createdAt": 1776678887692,
  "updatedAt": null,
  "categories": {
    "team": "AI & Data Engineering : Data Science",
    "location": "Dallas, Texas, United States",
    "commitment": "Third Party Contract",
    "department": "AI & Data Engineering",
    "allLocations": [
      "Dallas, Texas, United States"
    ]
  },
  "salaryRange": {
    "max": 160000,
    "min": 150000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}

Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/3404c59bc0cbb1f16d630168779d3b36ada5e168?include=descriptionJSON

GET https://api.bluedoor.sh/job-postings/v1/orgs/717b76e6-2650-4b68-8dcc-07a5191937f7JSON

GET https://api.bluedoor.sh/job-postings/v1/sources/8dec4a9c-f965-4413-9dbd-4366a88c56a5JSON

GET https://api.bluedoor.sh/job-postings/v1/jobs/3404c59bc0cbb1f16d630168779d3b36ada5e168/eventsJSON

Docs · Get an API key