Must also have 24 months of experience with each of the following: (1) apply advanced causal inference methods, including treatment effect estimation, counterfactual analysis, and advanced causal ...
New
Must also have 24 months of experience with each of the following: (1) apply advanced causal inference methods, including treatment effect estimation, counterfactual analysis, and advanced causal ...
New
Heersink School of Medicine-Open Rank-Family & Community Medicine (Research Faculty)
Birmingham, AL · On-site
Strong preference will be given to candidates with funded experience in pragmatic trials, real-world evidence (RWE), quasi-experimental or causal inference methods, ML/AI applications in healthcare, ...
Heersink School of Medicine-Open Rank-Family & Community Medicine (Research Faculty)
Birmingham, AL · On-site
Strong preference will be given to candidates with funded experience in pragmatic trials, real-world evidence (RWE), quasi-experimental or causal inference methods, ML/AI applications in healthcare, ...
AI Engineer
Birmingham, AL · On-site
... inference infrastructure and pipelines. * Implement MLOps pipelines for continuous integration, deployment, and lifecycle management using Azure ML and GitHub Actions. * Ensure compliant change ...
New
AI Engineer
Birmingham, AL · On-site
... inference infrastructure and pipelines. * Implement MLOps pipelines for continuous integration, deployment, and lifecycle management using Azure ML and GitHub Actions. * Ensure compliant change ...
New
AI Solution Engineer- Ops
Huntsville, AL · On-site +1
$121K - $169K/yr
... ML model inference jobs, flagging anomalies and performance degradation to the lead Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt ...
AI Solution Engineer- Ops
Huntsville, AL · On-site +1
$121K - $169K/yr
... ML model inference jobs, flagging anomalies and performance degradation to the lead Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt ...
AI Solution Engineer- Ops
Huntsville, AL · On-site
$121K - $169K/yr
... ML model inference jobs, flagging anomalies and performance degradation to the lead • Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark ...
AI Solution Engineer- Ops
Huntsville, AL · On-site
$121K - $169K/yr
... ML model inference jobs, flagging anomalies and performance degradation to the lead • Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark ...
AI Solution Engineer- Ops with Security Clearance
Huntsville, AL · On-site
$121K - $169K/yr
... ML model inference jobs, flagging anomalies and performance degradation to the lead • Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark ...
AI Solution Engineer- Ops with Security Clearance
Huntsville, AL · On-site
$121K - $169K/yr
... ML model inference jobs, flagging anomalies and performance degradation to the lead • Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark ...
AI Solution Engineer- Ops
Huntsville, AL · On-site +1
$121K - $169K/yr
Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead * Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks ...
Quick apply
AI Solution Engineer- Ops
Huntsville, AL · On-site +1
$121K - $169K/yr
Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead * Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks ...
Software Engineer IV - Sales Domain (Java / Google Cloud)
Birmingham, AL · On-site
$48.50 - $66.50/hr
Experience integrating AI/ML services into enterprise applications. * Familiarity with: * REST-based AI APIs * Model inference services * Prompt-based generative AI integrations * AI service ...
Software Engineer IV - Sales Domain (Java / Google Cloud)
Birmingham, AL · On-site
$48.50 - $66.50/hr
Experience integrating AI/ML services into enterprise applications. * Familiarity with: * REST-based AI APIs * Model inference services * Prompt-based generative AI integrations * AI service ...
Software Engineer IV - Sales Domain (Java / Google Cloud)
$48.50 - $66.50/hr
Experienceintegrating AI/ML services into enterprise applications. * Familiarity with: * REST-based AI APIs * Model inference services * Prompt-based generative AI integrations * AI service ...
Software Engineer IV - Sales Domain (Java / Google Cloud)
$48.50 - $66.50/hr
Experienceintegrating AI/ML services into enterprise applications. * Familiarity with: * REST-based AI APIs * Model inference services * Prompt-based generative AI integrations * AI service ...
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 ...
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 ...
ML Search Engineer
Birmingham, AL · On-site
$130K/yr
Build and integrate machine learning inference pipelines, including embeddings, transformer models, query understanding, reranking services, and LLM-powered features. * Develop robust APIs and ...
ML Search Engineer
Birmingham, AL · On-site
$130K/yr
Build and integrate machine learning inference pipelines, including embeddings, transformer models, query understanding, reranking services, and LLM-powered features. * Develop robust APIs and ...
Ml Inference information
What is ML inference?
ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.
What is the difference between Ml Inference vs Data Scientist?
| 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.
What are some common challenges faced by ML inference engineers when deploying models to production?
ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.
What are the key skills and qualifications needed to thrive in ML inference?
To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
Is ML inference a high paying job?
ML inference roles are generally well-paying, especially for those with skills in machine learning frameworks, programming, and cloud platforms. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech-related positions.
What are popular job titles related to Ml Inference jobs in Alabama? For Ml Inference jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Ml Inference jobs in Alabama look for? The top searched job categories for Ml Inference jobs in Alabama are:
Shipt rating
7.7
Based on 9 frontline employees who took The Breakroom Quiz
2nd of 24 rated food delivery companies
Job description
Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of statistical analysis and machine learning tasks, ranging from designing and evaluating experiments, conducting research, developing predictive and causal models, building marketplace optimization algorithms, to informing decision-making through insights, data storytelling, and reporting. Requires a Master's degree or equivalent in Data Science, or Mathematics and 3 years of experience working with statistical analysis and machine learning. Must also have 24 months of experience with each of the following: (1) apply advanced causal inference methods, including treatment effect estimation, counterfactual analysis, and advanced causal machine learning approaches such as Double Machine Learning, Meta-Learners and Causal Forests, to evaluate the impact of product features, policies, or business strategies; (2) apply statistical analysis and machine learning techniques to develop predictive models and solve complex business problems; (3) work in Python and utilize data analysis and machine learning, including Pandas, Numpy, LightGBM, Scikit-Learn, PyTorch, and causal inference libraries including EconML and Statsmodels; (4) consult with internal teams regarding model performance and translate analytical findings into actionable insights and decision strategies; and (5) utilize data visualization tools, including Tableau, to communicate analytical results and business insights. Employer will accept experience gained concurrently. Telecommuting available from anywhere in US. HQ at 420 20th St N, Suite 100, Birmingham, AL 35203. Salary: $123,000 to $247,000/year. Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com.
About Shipt
Sourced by ZipRecruiter
Shipt is a membership-based marketplace that helps people get the things they need, like fresh produce and household essentials, from stores they trust. Help people save time, and have fun while you're at it - there's never been a better time to join Shipt.
Industry
Retail
Company size
501 - 1,000 Employees
Headquarters location
Birmingham , AL, US
Year founded
2014