Feature Store Management: • Efficiently manage, share, and reuse machine learning features at ... engineers and data scientists to ensure the integrity and efficiency of data used in ML models. • ...
Feature Store Management: • Efficiently manage, share, and reuse machine learning features at ... engineers and data scientists to ensure the integrity and efficiency of data used in ML models. • ...
Model Validation Lead
Indianapolis, IN · On-site
... risk management of advanced analytics, machine learning, and AI models deployed in federal ... You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and ...
Model Validation Lead
Indianapolis, IN · On-site
... risk management of advanced analytics, machine learning, and AI models deployed in federal ... You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and ...
Staff ML Engineer
Zionsville, IN · On-site
... management, and striving for outcomes. This goal extends to how we hire and onboard our most ... As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production ...
Staff ML Engineer
Zionsville, IN · On-site
... management, and striving for outcomes. This goal extends to how we hire and onboard our most ... As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production ...
Lead Engineer
Indianapolis, IN · On-site
$97.90K - $129K/yr
... MLOps, translating experimental NLP and generative AI workflows into robust, observable, and ... Model Hosting, Fine-Tuning & Lifecycle Management · Deploy and manage fine-tuned and parameter ...
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Lead Engineer
Indianapolis, IN · On-site
$97.90K - $129K/yr
... MLOps, translating experimental NLP and generative AI workflows into robust, observable, and ... Model Hosting, Fine-Tuning & Lifecycle Management · Deploy and manage fine-tuned and parameter ...
Senior AI/ML Engineer
Bedford, IN · On-site
$93.50K - $128.40K/yr
Partner with project managers and engineering teams to define objectives for AI/ML systems in ... Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch ...
Senior AI/ML Engineer
Bedford, IN · On-site
$93.50K - $128.40K/yr
Partner with project managers and engineering teams to define objectives for AI/ML systems in ... Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch ...
AI Engineer Senior Consultant
Indianapolis, IN · Hybrid
$99.90K - $137.20K/yr
... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
AI Engineer Senior Consultant
Indianapolis, IN · Hybrid
$99.90K - $137.20K/yr
... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
AI Data Engineer - Senior Consultant
Indianapolis, IN · Hybrid
$99.90K - $137.20K/yr
... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
AI Data Engineer - Senior Consultant
Indianapolis, IN · Hybrid
$99.90K - $137.20K/yr
... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
Experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, versioning ... management). Ability to travel 0-25%, on average, based on client and project needs. Limited ...
Experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, versioning ... management). Ability to travel 0-25%, on average, based on client and project needs. Limited ...
AI Data Engineer - Manager
$109.40K - $131.40K/yr
AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and ...
AI Data Engineer - Manager
$109.40K - $131.40K/yr
AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and ...
Establish secure MLOps and CI/CD patterns for model training, tuning, and deployment on AKS, ACI ... Proficiency in one programming language used to automate controls and pipelines (Python or Java ...
Establish secure MLOps and CI/CD patterns for model training, tuning, and deployment on AKS, ACI ... Proficiency in one programming language used to automate controls and pipelines (Python or Java ...
Guide technical teams in modern engineering practices (MLOps/LLMOps, IaC, CI/CD, cloud native ... Strong client management skills, with the ability to build and nurture long-term client ...
Guide technical teams in modern engineering practices (MLOps/LLMOps, IaC, CI/CD, cloud native ... Strong client management skills, with the ability to build and nurture long-term client ...
Guide technical teams in modern engineering practices (MLOps/LLMOps, IaC, CI/CD, cloud native ... Strong client management skills, with the ability to build and nurture long-term client ...
Guide technical teams in modern engineering practices (MLOps/LLMOps, IaC, CI/CD, cloud native ... Strong client management skills, with the ability to build and nurture long-term client ...
Manager Data Engineering
Indianapolis, IN · On-site
Lead and manage data engineering teams responsible for the design, development, deployment, and ... Experience implementing DataOps, MLOps, and DevOps practices, including CI/CD, IaaC (e.g ...
Manager Data Engineering
Indianapolis, IN · On-site
Lead and manage data engineering teams responsible for the design, development, deployment, and ... Experience implementing DataOps, MLOps, and DevOps practices, including CI/CD, IaaC (e.g ...
Familiarity with MLOps and the ability to think critically about deployment of Machine Learning ... Some experience understanding the AI/Client approaches Must understand the package management for ...
Familiarity with MLOps and the ability to think critically about deployment of Machine Learning ... Some experience understanding the AI/Client approaches Must understand the package management for ...
ERP AI Engineer - Manager
Indianapolis, IN · On-site
$99K - $232K/yr
As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ... with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and semantic ...
ERP AI Engineer - Manager
Indianapolis, IN · On-site
$99K - $232K/yr
As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ... with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and semantic ...
... , LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...
... , LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...
... with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...
... with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...
Databricks Engineer
Indianapolis, IN · On-site +1
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Experience with Databricks workspace administration, machine learning operations (MLOps), or ...
Databricks Engineer
Indianapolis, IN · On-site +1
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Experience with Databricks workspace administration, machine learning operations (MLOps), or ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ... Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in ...
Manager Mlops Engineer information
What is the difference between Manager Mlops Engineer vs Data Scientist?
| Aspect | Manager Mlops Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, Engineering, or related; experience with MLOps tools | Degree in Data Science, Statistics, or related; proficiency in programming and analytics |
| Work Environment | Collaborates with engineering and operations teams to deploy ML models | Analyzes data, builds models, and interprets results for business insights |
| Industry Usage | Used in tech, finance, healthcare for deploying ML solutions | Common across tech, marketing, research for data analysis and modeling |
The Manager Mlops Engineer focuses on deploying and maintaining machine learning models in production environments, overseeing MLOps pipelines. In contrast, Data Scientists primarily analyze data and develop models for insights. Both roles require technical skills but differ in their focus on deployment versus analysis.
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Job description
We are seeking a dynamic Software Engineer with an ML focus to lead the integration and operationalization of machine learning models in our Search area. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, and transformers.
• Software engineering skills to work with teams integrating the recommender systems into customer facing products.
• Experience in AB testing and iterative optimization using data driven approaches.
• Understanding of infrastructure needs required to deploy ML systems (CPU/GPU, networking infrastructure).
Feature Store Management:
• Efficiently manage, share, and reuse machine learning features at scale using Vertex AI Feature Store.
• Implement feature stores as a central repository for maintaining transparency in ML operations across the organization.
• Enable feature delivery with endpoint exposure while maintaining authority and security features.
Data Management and Collaboration:
• Assist as needed with data labeling and management, ensuring high-quality data for ML models.
• Collaborate with data engineers and data scientists to ensure the integrity and efficiency of data used in ML models.
• Ensure end-to-end integration for data to AI, including the use of BigTable / BigQuery for executing machine learning models on business intelligence tools.
Continuous Monitoring and Optimization:
• Monitor ML systems in production, identify improvement opportunities, and implement optimizations.
• Participate in support rotations and participate in support calls, as necessary.
About 3B Staffing
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
Newark, NJ, US
Year founded
2018