Top 29 Mlops accelerator google cloud Jobs

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Quantiphi —Remote
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Tata Consultancy Services —Delray Beach, FL
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- Computer Science
- Master's degree
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Head of AI
Atos —Remote
- Hybrid work
- Azure
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- 11+ years
Principal Data Architect
Quantiphi —Remote
- Full-time
- Senior level
Technical Program Manager
Quantiphi —Remote
- Azure
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- AWS
Senior Machine Learning Engineer
Quantiphi —Remote
- Full-time
- Research
- Analysis skills
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Senior AI Engineer (AI / ML Solutions)
Pennymac —Cary, NC
- $110,000 - $170,000 a year
- Computer Science
- Office
- 3 years
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Solutions Managing Director, AI Tech Strategy & Consulting
World Wide Technology Holding, LLC —Remote
- $230,000 - $300,000 a year
- Full-time
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- Azure
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- 11+ years
- Profit sharing
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Technical Architect - Machine Learning
Quantiphi —Remote
- Full-time
- 6 years
- System design
- Mentoring
Principal AI Engineer - Frontier Data
Turing —San Francisco, CA
- $232,000 - $260,000 a year
- Azure
- Computer Science
- Bachelor of Science
- Flexible schedule
Lead Data Architect
Steampunk —McLean, VA
- $165,000 - $210,000 a year
- Remote
- Computer Science
- Master's degree
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6d
Delivery Lead - AI
Eclerx —New York, NY
- $200,000 - $250,000 a year
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- HIPAA
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Sr. Site Reliability Engineer
Tiger Analytics Inc. —Washington, DC
- On call
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- Senior level
- Python
Quick Apply
Vice President, AI Infrastructure Engineer
BlackRock Investments —New York, NY
- $162,000 - $215,000 a year
- On call
- Hybrid work
- Office
- Children
- Computer networking
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Lead Artificial Intelligence Engineer
Credit One Bank —Las Vegas, NV
- Computer Science
- 3 years
- Senior level
AVP, Artificial Intelligence
Credit One Bank —Las Vegas, NV
- Management
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- 5 years
Director of AI Forward Deployed Researcher
TELUS Digital —Las Vegas, NV
- Azure
- Computer Science
- Up to 50% travel
Consulting Manager - AI Engineer – Insurance & Retirement
Cognizant —New Jersey
- $81,500 - $129,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Databases
- Paid parental leave
- Employee stock purchase plan
1d
Pre-Sales Solutions Architect - Artificial Intelligence
SDG Group —Bedminster, NJ
- Full-time
- Hybrid work
- 7 years
- Azure
- Computer Science
- Paid holidays
- Disability insurance
Quick Apply

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Machine Learning Engineer

Quantiphi -
Remote

Apply Now

Job Details

Full-time

Qualifications

AI models
Software troubleshooting
Software deployment
Testing and evaluation
Generative models
AI platforms (beyond public GPTs)
Computational framework
Machine learning cloud services
Machine intelligence
Model deployment
Version control systems
Developing large-scale AI models
Natural language processing
GitHub
Software testing
Model training
Serverless cloud services
API integrations
Machine learning libraries
Machine learning frameworks
Feature engineering
Generative AI
Debugging

Full Job Description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate—we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:

17x Google Cloud Partner of the Year awards in the last 8 years
3x AWS AI/ML award wins
3x NVIDIA Partner of the Year titles
2x Snowflake Partner of the Year awards
We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Job Overview:

We are looking for a Machine Learning Engineer with strong expertise in Google Cloud AI tools, ML model development, and end-to-end deployment. The ideal candidate will have hands-on experience with Google Cloud Document AI, Vertex AI, and Large Language Models (LLMs). You will be responsible for designing, training, evaluating, and fine-tuning ML models, integrating them with cloud-based applications, and ensuring scalable and reliable performance in production environments.

Key Responsibilities:

Design, develop, train, and fine-tune machine learning models, including custom and pre-trained models on Google Cloud Vertex AI and Document AI.
Build and manage custom Document AI processors such as Custom Document Splitter, Custom Document Classifier, and Custom Document Extractor.
Work with pre-trained Document AI processors and customize them for business-specific document understanding tasks.
Develop and deploy ML solutions using GCP services like Cloud Functions, Cloud Run, Firestore, Cloud SQL, Cloud Storage, and BigQuery.
Design and implement data preprocessing pipelines for large-scale, unstructured, and semi-structured data.
Integrate ML models into production systems via secure and scalable APIs.
Evaluate model performance using standard ML metrics, perform model validation, and optimize for accuracy, latency, and efficiency.
Collaborate with cross-functional teams (Data Engineers, Software Developers, and Product Teams) to ensure seamless model integration and delivery.
Troubleshoot and debug ML pipelines, training jobs, and model deployment issues.
Maintain proper version control of code, models, and configurations using Git/GitHub.
Follow best practices for ML lifecycle management, testing, and documentation.

Basic Qualifications (Essential):

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience.
Proven experience with Google Cloud Document AI (Custom Workbench: Splitter, Classifier, Extractor, and pre-trained processors).
Hands-on experience with Google Cloud Vertex AI for model training, tuning, and deployment.
Strong understanding and practical experience with Large Language Models (LLMs) and their fine-tuning.
Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with ML model design, training, testing, evaluation, and fine-tuning.
Solid experience in data preprocessing and feature engineering.
Familiarity with GCP services such as Cloud Functions, Cloud Run, Firestore, Cloud Storage, Cloud SQL, and BigQuery.
Strong understanding of API integration for ML model deployment.
Proficiency in troubleshooting and debugging ML-related issues.
Experience with Git/GitHub for version control and collaboration.

Other Qualifications (Good to Have):

Knowledge of MLOps practices for automating ML workflows, model versioning, and continuous deployment.
Experience building and exposing ML models via FastAPI or similar frameworks.
Familiarity with data pipeline orchestration tools (e.g., Airflow, Kubeflow).
Understanding of security and compliance best practices in ML systems.
Strong analytical, problem-solving, and communication skills.

What is in it for you:

Be part of the fastest-growing AI-first digital transformation and engineering company in the world
Be a leader of an energetic team of highly dynamic and talented individuals
Exposure to working with fortune 500 companies and innovative market disruptors
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply Now

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mlops accelerator google cloud jobs

Machine Learning Engineer

Senior Machine Learning Engineer

Senior AI Business Consultant

Head of AI

Principal Data Architect

Technical Program Manager

Senior Machine Learning Engineer

Senior AI Engineer (AI / ML Solutions)

Solutions Managing Director, AI Tech Strategy & Consulting

Technical Architect - Machine Learning

Principal AI Engineer - Frontier Data

Lead Data Architect

Delivery Lead - AI

Sr. Site Reliability Engineer

Vice President, AI Infrastructure Engineer

Lead Artificial Intelligence Engineer

AVP, Artificial Intelligence

Director of AI Forward Deployed Researcher

Consulting Manager - AI Engineer – Insurance & Retirement

Pre-Sales Solutions Architect - Artificial Intelligence

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