As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...
Our partner is looking for a Machine Learning Engineer - Distillation based in Netherlands. This role offers the opportunity to advance the efficiency and scalability of next-generation machine ...
Our partner is looking for a Machine Learning Engineer - Distillation based in Netherlands. This role offers the opportunity to advance the efficiency and scalability of next-generation machine ...
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence ...
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence ...
Machine Learning Engineer
Columbia, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Columbia, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Saint Louis, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Saint Louis, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Our partner is looking for a Machine Learning Engineer - Large Language Models based in Netherlands. Join a highly collaborative and innovation-driven environment where you'll help shape the future ...
Our partner is looking for a Machine Learning Engineer - Large Language Models based in Netherlands. Join a highly collaborative and innovation-driven environment where you'll help shape the future ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
$88K - $106K/yr
Our partner is looking for a Machine Learning Engineer - Inference Optimization based in Netherlands. This role offers the opportunity to optimize the performance of advanced machine learning systems ...
$88K - $106K/yr
Our partner is looking for a Machine Learning Engineer - Inference Optimization based in Netherlands. This role offers the opportunity to optimize the performance of advanced machine learning systems ...
Our partner is looking for a Machine Learning Engineer - Training Optimization based in Netherlands. This role offers the opportunity to improve the foundations behind large-scale AI model ...
Our partner is looking for a Machine Learning Engineer - Training Optimization based in Netherlands. This role offers the opportunity to improve the foundations behind large-scale AI model ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Engineer
Independence, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Independence, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Jefferson City, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Jefferson City, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Springfield, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Springfield, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Petroleum Engineer information
How does a machine learning petroleum engineer typically collaborate with geoscientists and drilling teams to optimize oil and gas production?
A Machine Learning Petroleum Engineer works closely with geoscientists and drilling teams by integrating data-driven models into exploration and production workflows. They analyze geological, seismic, and operational data to develop predictive algorithms that identify optimal drilling locations, forecast reservoir performance, and improve recovery rates. Regular collaboration involves translating complex data insights into actionable recommendations that guide drilling strategies and inform real-time decisions, ensuring all teams are aligned to maximize efficiency and safety. This multidisciplinary approach fosters continuous learning and innovation across teams.
What is the difference between Machine Learning Petroleum Engineer vs Reservoir Engineer?
| Aspect | Machine Learning Petroleum Engineer | Reservoir Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Petroleum Engineering, Data Science, or related fields; knowledge of machine learning | Bachelor's/Master's in Petroleum Engineering or Geosciences; strong understanding of reservoir simulation |
| Work Environment | Data analysis, modeling, software development in oil & gas companies | Reservoir modeling, field development planning in oil & gas operations |
| Industry Usage | Applying machine learning to optimize extraction, predict reservoir behavior | Estimating reservoir properties, managing production strategies |
The Machine Learning Petroleum Engineer focuses on integrating data science and machine learning techniques to optimize oil extraction processes, while the Reservoir Engineer specializes in modeling and managing subsurface reservoirs to maximize recovery. Both roles are vital in the oil & gas industry but differ in their core skills and daily tasks.
What is a machine learning petroleum engineer?
A Machine Learning Petroleum Engineer is a specialist who combines expertise in petroleum engineering with machine learning and data science techniques. They use advanced algorithms and data analytics to optimize oil and gas exploration, drilling, production, and reservoir management. Their work helps improve decision-making, reduce operational costs, and increase efficiency by analyzing large datasets from various sources such as sensors, seismic data, and production logs. These professionals often work closely with geoscientists, data engineers, and other stakeholders in the energy sector.
What are the key skills and qualifications needed to thrive as a machine learning petroleum engineer?
To thrive as a Machine Learning Petroleum Engineer, you need a strong background in petroleum engineering, programming (such as Python or R), and applied machine learning, usually supported by a relevant engineering degree. Familiarity with data analysis platforms, machine learning frameworks (like TensorFlow or Scikit-learn), and petroleum industry software (such as Petrel or Eclipse) is essential. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for integrating technical insights with business goals. These competencies enable the effective application of data-driven solutions to optimize exploration, production, and operational efficiency in the energy sector.
What are popular job titles related to Machine Learning Petroleum Engineer jobs in Missouri? For Machine Learning Petroleum Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Machine Learning Petroleum Engineer jobs in Missouri look for? The top searched job categories for Machine Learning Petroleum Engineer jobs in Missouri are:
- No Experience Nvidia Machine Learning
- Remote Tesla Machine Learning Engineer
- Weekend Machine Learning
- Contractual Machine Learning Government
- Internship German Machine Learning
- Remote Machine Learning Compiler Engineer
- Junior Machine Learning
- Freelance Google Machine Learning Engineer
- Research Machine Learning Federated Learning
- Mlops Machine Learning Engineer
What cities in Missouri are hiring for Machine Learning Petroleum Engineer jobs? Cities in Missouri with the most Machine Learning Petroleum Engineer job openings:
Full-time
Posted 6 days ago
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Netherlands.
This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.
You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.
The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.
You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.
This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.
Accountabilities:
The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:
- Develop, train, test, and evaluate machine learning models to support product objectives.
- Prepare, clean, analyze, and manage datasets used for model training and validation.
- Improve model performance through experimentation, optimization, and continuous testing.
- Deploy, maintain, and monitor machine learning models in production environments.
- Collaborate with software engineers to integrate machine learning capabilities into products and applications.
- Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.
- Apply modern machine learning techniques and stay informed about emerging technologies and best practices.
- Write clean, maintainable, and efficient code to support scalable AI solutions.
- Contribute to technical discussions and help solve complex engineering challenges.
- Participate in the continuous improvement of machine learning workflows and development processes.
The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:
- 1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities.
- Basic understanding of machine learning concepts, algorithms, and model development processes.
- Strong programming skills in Python.
- Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn.
- Comfortable working with data and writing clean, maintainable code.
- Experience using Git and version control practices.
- Strong problem-solving skills with the ability to analyze technical challenges.
- Good written and verbal English communication skills.
- Passion for learning, experimenting, and building AI-powered solutions.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory.
- Experience with large language models (LLMs) is an advantage.
- Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial.
- Knowledge of SQL and experience deploying machine learning models are considered advantages.
- Personal AI, machine learning projects, or open-source contributions are highly valued.
The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:
- Fully remote work opportunity.
- Flexible working environment with autonomy and work-life balance.
- Opportunity to build and improve real-world AI products.
- Exposure to challenging technical problems and modern machine learning technologies.
- Collaborative and fast-moving team environment.
- Opportunities for professional growth and continuous learning.
- Competitive compensation based on experience.
- Opportunity to contribute to impactful machine learning projects from anywhere.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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