Top 798 algorithms mlops Jobs

Modem Machine Learning Engineer
Qualcomm —San Diego, CA
- $104,000 - $156,000 a year
- Computer Science
- System design
- Mid-level
1h
Lead Architect , AI Solutions Architecture - Claim
The Travelers Companies, Inc. —Hartford, CT
- $169,400 - $279,600 a year
- Hybrid work
- Azure
- Computer Science
- AWS
- Wellness program
- Paid holidays
Lead Architect , AI Solutions Architecture - EDDA
The Travelers Companies, Inc. —Hartford, CT
- $169,400 - $279,600 a year
- Hybrid work
- Azure
- Computer Science
- AWS
- Wellness program
- Paid holidays
AI/ML Engineer
CGI Group, Inc. —Knoxville, TN
- $102,000 - $251,100 a year
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays
Modeling and Simulation Engineer – Integration and Analysis
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
- Disability insurance
- Health insurance
2d
AI Architect
New Resources Consulting —Milwaukee, WI
- Contract
- Computer Science
- System design
- Mid-level
- Tuition reimbursement
Quick Apply
Senior Architect, AI Solutions Architecture - CorpTech
The Travelers Companies, Inc. —Hartford, CT
- $139,400 - $230,000 a year
- Hybrid work
- Azure
- Computer Science
- 8 years
- Wellness program
- Paid holidays
Senior Architect, AI Solutions Architecture - ETS
The Travelers Companies, Inc. —Hartford, CT
- $139,400 - $230,000 a year
- Hybrid work
- Azure
- Computer Science
- 8 years
- Wellness program
- Paid holidays
Lead Machine Learning Engineer
Disney Entertainment Television —New York, NY
- $179,700 - $225,000 a year
- 7 years
- Computer Science
- Office
Senior AI Engineer
New Resources Consulting —Milwaukee, WI
- Contract
- Computer Science
- Bachelor's degree
- Senior level
- Tuition reimbursement
Quick Apply
Lead Architect, AI Solutions Architecture - BSI/Cyber
The Travelers Companies, Inc. —Hartford, CT
- $169,400 - $279,600 a year
- Hybrid work
- Azure
- Computer Science
- AWS
- Wellness program
- Paid holidays
AI Engineer
New Resources Consulting —Milwaukee, WI
- Contract
- Computer Science
- Mid-level
- Bachelor's degree
- Tuition reimbursement
Quick Apply
Data Scientist - Machine Learning
Tailored Shared Services, LLC —Dublin, CA
- $80,700 - $110,000 a year
- Full-time
- 3 years
- Master's degree
- SQL
- Store discount
- Paid jury duty
Quick Apply
Data Scientist Assistant Vice President
Citi —Tampa, FL
- $96,960 - $145,440 a year
- Full-time
- 5 years
- Office
- Java
- Paid holidays
- Disability insurance
2d
Engineer / Principal Systems Engineer - Prognostics / PHM
Northrop Grumman —Melbourne, FL
- $79,300 - $147,600 a year
- Overtime
- SQL
- Analysis skills
- Doctor of Philosophy
- Paid holidays
- Disability insurance
Senior Data Scientist
Johnson Service Group Inc. —Chattanooga, TN
- $75 - $79 an hour
- Overtime
- Computer science
- Computer Science
- 5 years
- Disability insurance
- Health insurance
Quick Apply
Lead Architect , AI Solutions Architecture - PI
The Travelers Companies, Inc. —Hartford, CT
- $169,400 - $279,600 a year
- Hybrid work
- Azure
- Computer Science
- AWS
- Wellness program
- Paid holidays
Lead Architect , AI Solutions Architecture - BI/INTL
The Travelers Companies, Inc. —Hartford, CT
- $169,400 - $279,600 a year
- Hybrid work
- Azure
- Computer Science
- AWS
- Wellness program
- Paid holidays
Applied Algorithms Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Huntsville, AL
- $100,000 - $245,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Disability insurance
- Health insurance
2d
Principal / Sr. Principal Software Engineer
Northrop Grumman —Los Angeles, CA
- $114,000 - $213,400 a year
- Overtime
- Software troubleshooting
- Master's degree
- Bachelor's degree
- Paid holidays
- Disability insurance
3d

I want to receive the latest job alert for algorithms mlops

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

algorithms mlops jobs near

Modem Machine Learning Engineer

Qualcomm -
San Diego, CA

Apply Now

Job Details

$104,000 - $156,000 a year
1 hour ago

Benefits

Qualifications

Statistics
Software engineering
Statistics

Full Job Description

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Modem Technologies Software

General Summary:

The Modem Machine Learning Engineer applies advanced machine learning techniques to next‑generation modem systems, working across data engineering, model development, deployment, and lifecycle management. This role partners closely with modem, systems, and software teams to deliver production‑ready ML solutions. You will place a strong emphasis on modern deep learning architectures, building scalable MLOps frameworks, and ensuring continuous model health monitoring in dynamic production environments.

Key Responsibilities

Identify, scope, and prioritize high-impact machine learning use cases within modem and wireless systems.

Design, develop, and train robust ML/DL models tailored for modem applications, leveraging time‑series forecasting, sequence modeling, and modern deep learning architectures.

Build and integrate automated, end‑to‑end ML pipelines encompassing data ingestion, feature generation, model training, evaluation, and deployment.

Design and maintain state-of-the-art MLOps infrastructure to enable reproducible experimentation, strict model versioning, automation, and the scalable onboarding of new ML use cases.

Deploy and heavily optimize ML models for on‑device and modem targets, specifically focusing on HW and firmware integrated environments with strict latency, memory, and compute constraints.

Implement robust model performance monitoring, establishing KPI regression tracking and automated detection for data and concept drift across both cloud and on‑target deployments.

Collaborate closely across systems, test, and platform teams to ensure a seamless production rollout and sustained model performance over time.

Design and implement ETL, data platform, MLOps, CI/CD, observability, and governance pipelines across on-premises and cloud environments.

Build and manage ML data platforms utilizing hands-on experience with AWS (S3, Glue, EMR), containers (Docker, Kubernetes), streaming/messaging (Kafka, RabbitMQ), data platforms (Spark, Databricks, Delta Lake/Iceberg/Hudi, SQL, Postgres), and observability stacks (Prometheus/Grafana, Datadog, Splunk).

Minimum Qualifications:

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Minimum Qualifications

Bachelor’s degree with at least 1 year of relevant experience or Master’s degree

Strong hands-on programming experience in Python and/or C/C++.

Solid foundations in machine learning algorithms, probability, statistics, and software engineering principles.

Preferred Qualifications

Hands‑on experience with deep learning architectures including CNNs, RNNs, GRUs, LSTMs, Transformers, and related sequence models.

Proficiency with industry-standard ML frameworks such as PyTorch, TensorFlow, Keras.

Proven experience building production‑grade ML pipelines capable of handling large‑scale structured and unstructured datasets.

Deep experience with MLOps systems, including experiment tracking, model lifecycle management, CI/CD for ML, and cloud/on‑device co‑development environments.

Experience implementing data drift, concept drift, and model performance monitoring using well‑defined KPIs in a production setting.

Strong software engineering skills, including object‑oriented design, debugging complex integrated systems, and working within real‑time execution constraints.

Exposure to on‑device ML deployment, quantization, and neural network optimization tools.

Familiarity with cloud ML platforms (e.g., AWS SageMaker), containerization (Docker/Kubernetes), and automation/orchestration tools.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits :

$104,000.00 - $156,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .

If you would like more information about this role, please contact Qualcomm Careers .

Apply Now

Refine Your Search

algorithms mlops jobs

Modem Machine Learning Engineer

Lead Architect , AI Solutions Architecture - Claim

Lead Architect , AI Solutions Architecture - EDDA

AI/ML Engineer

Modeling and Simulation Engineer – Integration and Analysis

AI Architect

Senior Architect, AI Solutions Architecture - CorpTech

Senior Architect, AI Solutions Architecture - ETS

Lead Machine Learning Engineer

Senior AI Engineer

Lead Architect, AI Solutions Architecture - BSI/Cyber

AI Engineer

Data Scientist - Machine Learning

Data Scientist Assistant Vice President

Engineer / Principal Systems Engineer - Prognostics / PHM

Senior Data Scientist

Lead Architect , AI Solutions Architecture - PI

Lead Architect , AI Solutions Architecture - BI/INTL

Applied Algorithms Engineer

Principal / Sr. Principal Software Engineer

I want to receive the latest job alert for algorithms mlops

Related Searches

Explore jobs in more locations

Company:

Job Area:

Job Seeker Tools

Employer Tools

Browse

Stay Connected