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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?

AspectMachine Learning Petroleum EngineerReservoir Engineer
Required CredentialsBachelor's/Master's in Petroleum Engineering, Data Science, or related fields; knowledge of machine learningBachelor's/Master's in Petroleum Engineering or Geosciences; strong understanding of reservoir simulation
Work EnvironmentData analysis, modeling, software development in oil & gas companiesReservoir modeling, field development planning in oil & gas operations
Industry UsageApplying machine learning to optimize extraction, predict reservoir behaviorEstimating 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, and why are they important?

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 Indiana? For Machine Learning Petroleum Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Petroleum Engineer jobs in Indiana look for? The top searched job categories for Machine Learning Petroleum Engineer jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Petroleum Engineer jobs? Cities in Indiana with the most Machine Learning Petroleum Engineer job openings:
Machine Learning Petroleum Engineer jobs near you
Machine Learning (ML) / Data Engineer

Machine Learning (ML) / Data Engineer

Moser Consulting

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

About Moser
For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.
Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.
Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.
Description
We are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.
Role Responsibilities
Artificial Intelligence / Machine Learning Engineering:
  • Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.
  • Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.
  • Implement model inference services, deployment workflows, and monitoring mechanisms.
  • Projects may range from data ingestion and transformation to model serving and application integration.
  • Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.
  • Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.Implement model governance and reproducibility standards, ensuring models are versioned.

Data Engineering:
  • Build ingestion, transformation, and storage pipelines for analytical and ML workflows.
  • Ensure data quality and integrity by implementing data validation and cleansing processes.
  • Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.
  • Leveraging SQL and python data tooling develop scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, complex datasets from disparate sources (batch and streaming). Streamlining for low latency, high throughput and cost-efficiency.

Software Engineering:
  • Write modular, testable, and maintainable codebases that follow idiomatic patterns.
  • Build APIs, services, and components that integrate models into applications.
  • Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.
  • Documentation will include diagrams, reasoning, assumptions, and operational instructions.

Collaboration & Communication:
  • Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.
  • Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Proven ability to foster a collaborative and positive team environment, contributing to team success.
  • Proven ability to explain complex concepts to non-technical collaborators.
  • Proven ability to break down requirements into clear actionable steps.
  • Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.
  • Communication and collaboration: Excellent verbal and written communication skills.
Requirements
  • Communication and collaboration: Excellent verbal and written communication skills.
  • A solid understanding of statistical analysis, data modeling and data visualization techniques.
  • Excellent time management and organizational skills.
  • Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.
  • Strong understanding of ETL/ELT fundamentals and orchestration tools.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.
  • Strong understanding of software engineering practices including version control, testing, module design, and code clarity.
  • Expertise in ML, MLOps, and applied AI in production environments.
  • Location: Indianapolis, IN. United States required.
Preferred Skills
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.
  • Minimum 3 - 5 years of experience working with Machine Learning models.
  • Must be able to operate effectively in secure, high-compliance, or limited-tooling environments (e.g. no code assistants, on-prem pipelines, locked-down VMs).
  • Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.
  • Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.
  • Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.
  • History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.
  • Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.
  • History in leverage enterprise platforms (e.g., AI Foundry or similar) to securely containerize and deploy models, ensuring robust endpoint protection, managed identity access, and compliance with organizational security standards.
  • Relevant Certifications are beneficial.
Where You'll Work
You will need to be able to work a hybird/onsite schedule out of the Indianapolis, IN area. This position would sit at a client site up to 3 days a week.
Salary
At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number-it's a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.
Benefits
For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don't just hire the best-we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.
Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we're consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that's not all.
We also offer a suite of benefits designed to support and enrich our employees' lives. These include:
  • Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.
  • Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.
  • PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.
  • Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.
  • Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.
  • Wellness Program: We promote a healthy lifestyle with our wellness program.
  • Catered Lunches: Enjoy delicious catered lunches regularly.

At Moser Consulting, we don't just offer jobs-we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.
Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a professional.

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