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HomeCompaniesFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2Senior ML Ops Engineer - Dallas, TX

Senior ML Ops Engineer - Dallas, TX

Fa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 · United States · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
TitleSenior ML Ops Engineer - Dallas, TX
Normalized title-
Department / team-
LocationUnited States
Work model-
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-15 / 2026-06-16
Changed / last seen2026-06-19 / 2026-06-21

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PageWhat it containsOpen
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Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
Sourcec9ed31af-e3b7-45ab-9928-44fa8c877305
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o . Must Have - Tech Skills: 1. Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months). 2. Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle: a. Evaluation Techniques. b. Machine Learning Algorithms. c. Statistical Modeling. d. End to end deployment. e. Metric generation. f. Model monitoring and deployment. g. Prompt Engineering, 3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc. 4. Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective. 5. Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in: a. Java i. library/dependency management ii. Package and distribution management iii. Algorithms b. Python c. Tensorflow / PyTorch 6. Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). 7. Strong understanding of containerization technologies (e.g., Docker, Kubernetes). Must Have - Soft Skills: 1. Good Team worker & good collaborations skills. 2. Ability to abstract out details, define problem & have clear technical communication. 3. Ability to lead inter team communication. 4. Ability to write crisp and effective documentation. 5. Ensures that deadlines are met. Good To Have - Tech Skills: 1. GCP ML Tech stack. 2. Experienced with Infrastructure as Code (IaC). 3. Experience with big data technologies such as Apache Spark or Hadoop. 4. Stay informed about the ethical implications of machine learning eg: selection bias. 5. Model Training 6. Data Analytics - figure out anomalies , skew , discrepancies 7. Hands on with developing on device ML System. Good To Have - Soft Skills: 1. Mentoring and Leadership. 2. Project Management. Compensation, Benefits and Duration Minimum Compensation: USD 51,000 Maximum Compensation: USD 178,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Full job record

Job ID8e334c940c3dbb80c5384cce2b6c0347f898d71b
Org ID9b9010ed-5f3e-4445-bf65-2990847efc8d
Source IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Board IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Provideroracle_hcm
Provider Job Key26214
TitleSenior ML Ops Engineer - Dallas, TX
Normalized Title
Statusactive
Activeyes
Location TextUnited States
Department
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
Region
City
Salary RawDescription Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o . Must Have - Tech Skills: 1. Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months). 2. Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle: a. Evaluation Techniques. b. Machine Learning Algorithms. c. Statistical Modeling. d. End to end deployment. e. Metric generation. f. Model monitoring and deployment. g. Prompt Engineering, 3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc. 4. Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective. 5. Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in: a. Java i. library/dependency management ii. Package and distribution management iii. Algorithms b. Python c. Tensorflow / PyTorch 6. Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). 7. Strong understanding of containerization technologies (e.g., Docker, Kubernetes). Must Have - Soft Skills: 1. Good Team worker & good collaborations skills. 2. Ability to abstract out details, define problem & have clear technical communication. 3. Ability to lead inter team communication. 4. Ability to write crisp and effective documentation. 5. Ensures that deadlines are met. Good To Have - Tech Skills: 1. GCP ML Tech stack. 2. Experienced with Infrastructure as Code (IaC). 3. Experience with big data technologies such as Apache Spark or Hadoop. 4. Stay informed about the ethical implications of machine learning eg: selection bias. 5. Model Training 6. Data Analytics - figure out anomalies , skew , discrepancies 7. Hands on with developing on device ML System. Good To Have - Soft Skills: 1. Mentoring and Leadership. 2. Project Management. Compensation, Benefits and Duration Minimum Compensation: USD 51,000 Maximum Compensation: USD 178,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/26214
Apply URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/26214
First Seen At2026-06-16 10:59:54Z
Last Seen At2026-06-21 12:36:09Z
Last Checked At2026-06-21 12:36:09Z
Last Changed At2026-06-19 11:47:38Z
Inactive At
Source Posted At2026-06-15 23:35:17Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com|CX_2/date=2026-06-21/2026-06-21T12-33-29-393Z-1a623db2e0d19dffecfa2a40290796ce4ac76604e5531096243a8fb98498cafe.json
Event Fields
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Extensions
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