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Mlops Salary Jobs (NOW HIRING)

Stefanini is looking for a MLOps Engineer (Dearborn, MI) For quick apply, please reach out to ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

Senior MLOps Engineer

$107K - $146K/yr

Position Summary We're hiring a Senior MLOps Engineer with deep machine learning engineering ... Competitive salary and benefits package. * Flexible working arrangements (remote or hybrid options ...

Senior MLOps Engineer

Palo Alto, CA · On-site

$210 - $280/hr

As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI's models from ... Silicon Valley-standard salary, significant equity, and premium benefits. #J-18808-Ljbffr

Senior MLOps Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI's models from ... Silicon Valley-standard salary, significant equity, and premium benefits.

Senior MLOps Engineer

Palo Alto, CA · On-site

$180 - $240/hr

Role Overview As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI ... Silicon Valley‑standard salary, significant equity, and premium benefits. #J-18808-Ljbffr

Sr Software Engineer, MLOps

WA · Remote

$150K - $180K/yr

About This Role We are seeking a Sr MLOps Engineer to build the model lifecycle, deployment ... Actual salaries will vary based on several factors including but not limited to location ...

Senior MLOps Engineer

San Francisco, CA · On-site

$170K - $200K/yr

The Role As a Senior MLOps Engineer, you will own the infrastructure and ML platform that powers ... This salary range may be inclusive of several career levels at ClimateAi and will be narrowed ...

We are seeking a Staff MLOps Engineer with experience building and scaling infrastructure for large ... Salary range: $220,000k - 260,000 + 10% (bonus eligibility). Additional Information As part of our ...

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Mlops Salary information

What cities are hiring for Mlops Salary jobs? Cities with the most Mlops Salary job openings:
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Infographic showing various Mlops Salary job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Role Summary
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
Key Responsibilities
Translate data science prototypes into production-grade ML services and pipelines.
- Build training and inference code with reproducibility, versioning, and automated testing.
- Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
- Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
- Collaborate with Data Engineering on feature pipelines and data contracts.
- Own production health: drift detection, performance regression, rollback strategies, and incident response.
Required Qualifications
- 5+ years software engineering with 2+ years shipping ML models to production.
- Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
- Experience with containers and orchestration (Docker/Kubernetes) and API development.
- Understanding of ML system design (data leakage, training-serving skew, drift).
- CI/CD and DevOps practices applied to ML workloads (MLOps).
Experience with CI/CD and DevOps practices applied to ML (MLOps)
Salary Range: $100,000- $120,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1