Zionsville, IN · On-site
$190 - $215/hr
... and operating inference infrastructure at scale. * CI/CD for ML : Building ML pipelines with ... SageMaker Pipelines, Kubeflow, Airflow or Dagster; automated model testing, validation gates and ...
Zionsville, IN · On-site
$190 - $215/hr
... and operating inference infrastructure at scale. * CI/CD for ML : Building ML pipelines with ... SageMaker Pipelines, Kubeflow, Airflow or Dagster; automated model testing, validation gates and ...
Zionsville, IN · On-site
... and operating inference infrastructure at scale * CI/CD for ML : Building ML pipelines with ... SageMaker Pipelines, Kubeflow, Airflow, or Dagster; automated model testing, validation gates, and ...
Zionsville, IN · On-site
... and operating inference infrastructure at scale * CI/CD for ML : Building ML pipelines with ... SageMaker Pipelines, Kubeflow, Airflow, or Dagster; automated model testing, validation gates, and ...
Zionsville, IN · On-site
... and operating inference infrastructure at scale * CI/CD for ML : Building ML pipelines with ... SageMaker Pipelines, Kubeflow, Airflow, or Dagster; automated model testing, validation gates, and ...
Zionsville, IN · On-site
... and operating inference infrastructure at scale * CI/CD for ML : Building ML pipelines with ... SageMaker Pipelines, Kubeflow, Airflow, or Dagster; automated model testing, validation gates, and ...
Fort Wayne, IN · On-site +1
$174K - $193K/yr
Familiarity with AI/ML inference on embedded edge platforms (NVIDIA Jetson/CUDA/TensorRT). * Munitions and fuzing systems knowledge-warhead integration, safe-and-arm devices, fire control, and fuze ...
Fort Wayne, IN · On-site +1
$174K - $193K/yr
Familiarity with AI/ML inference on embedded edge platforms (NVIDIA Jetson/CUDA/TensorRT). * Munitions and fuzing systems knowledge-warhead integration, safe-and-arm devices, fire control, and fuze ...
... inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to ...
... inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to ...
Implement classical ML solutions using scikit-learn, PyTorch/TensorFlow , including training, evaluation, inference, monitoring, and model lifecycle management. * Develop AI/ML evaluation frameworks ...
Implement classical ML solutions using scikit-learn, PyTorch/TensorFlow , including training, evaluation, inference, monitoring, and model lifecycle management. * Develop AI/ML evaluation frameworks ...
Indianapolis, IN · On-site
$56K - $56K/yr
Apply regression, classification, clustering, forecasting, causal inference, NLP, anomaly detection ... Reusable ML pipelines, feature stores, and data-science assets - production-grade, shared across ...
New
Indianapolis, IN · On-site
$56K - $56K/yr
Apply regression, classification, clustering, forecasting, causal inference, NLP, anomaly detection ... Reusable ML pipelines, feature stores, and data-science assets - production-grade, shared across ...
New
Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). A successful candidate would possess ...
Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills). A successful candidate would possess ...
Notre Dame, IN · On-site
$90 - $130/hr
... inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to ...
Notre Dame, IN · On-site
$90 - $130/hr
... inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to ...
Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ... and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps ...
Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ... and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps ...
Indianapolis, IN · On-site
... optimize inference pipelines for real-time or batch generation. • Collaborate with cross ... Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). • Experience with LLMs ...
Indianapolis, IN · On-site
... optimize inference pipelines for real-time or batch generation. • Collaborate with cross ... Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). • Experience with LLMs ...
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Indianapolis, IN · On-site
$52.75 - $72.50/hr
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Indianapolis, IN · On-site
$52.75 - $72.50/hr
Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an ...
Austin, IN · On-site
$135K - $155K/yr
The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation ...
Austin, IN · On-site
$135K - $155K/yr
The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation ...
Advanced computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work ...
Advanced computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
| Aspect | ML Inference | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning models, programming skills | Degree in data science, statistics, or related fields |
| Work Environment | Deploying models in production, real-time data processing | Data analysis, model development, research |
| Industry Usage | AI product deployment, software companies | Research institutions, tech firms, consulting |
ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.
For Ml Inference jobs in Indiana, the most frequently searched job titles are:
The top searched job categories for Ml Inference jobs in Indiana are:
Cities in Indiana with the most Ml Inference job openings:
Zionsville, IN • On-site
$190 - $215/hr
Other
Medical, Dental, Vision, Life, Retirement
Posted 9 days ago
Group 1001 is a consumer‑centric, technology‑driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength, deep expertise and a can‑do culture.
Why This Role MattersWe’re building AI/ML‑powered products that will transform how Group 1001 approaches pricing optimization, claims automation and risk intelligence. To do this at scale we need robust ML infrastructure—not just great models. As a Staff ML Engineer you’ll focus on the MLOps and infrastructure layer that makes ML production‑ready: model serving, feature pipelines, experiment tracking and CI/CD for ML. You’ll help shape our ML platform architecture, working alongside Platform Engineering teams to ensure ML workloads run reliably on our modern stack: Snowflake, Dagster, Coalesce, Palantir and AWS SageMaker.
How You’ll ContributeThe base pay for this position ranges from $190,000 per year in our lowest geographic market up to $215,000 per year in our highest geographic market. Pay is based on factors such as market location, job‑related skills and experience.
Benefits Highlights
