Machine Learning Engineer

Meridian Central Partners; Oklahoma City (OK); On-site; USD 140,000 - 194,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Tuition reimbursement and professional

Job summary

Meridian Central Partners in Oklahoma City, OK, seeks a Machine Learning Engineer to build and deploy ML models that inform investment decisions. You will analyze large datasets, develop models, and collaborate with teams to integrate ML solutions into existing systems.

The role requires a BS in CS/Engineering or related field and 3–5 years of ML experience, with strong Python, TensorFlow, and scikit-learn skills. The firm offers a competitive salary and comprehensive benefits.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3–5 years of experience in machine learning.
• Proficiency in Python, TensorFlow, and scikit-learn is required.
• Strong analytical skills and the ability to communicate complex concepts are essential.

Responsibilities

• Develop and implement machine learning models to analyze large datasets and generate actionable insights.
• Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
• Design and optimize ML algorithms to improve model performance and accuracy.
• Conduct data exploration, preprocessing, and feature engineering for ML inputs.
• Evaluate and select ML frameworks, libraries, and tools for projects.
• Document and communicate models, processes, and findings to stakeholders.
• Stay up-to-date with ML and data science advancements to drive innovation.

Skills

Python proficiency

TensorFlow proficiency

scikit-learn proficiency

ML experience 3–5 years

Analytical skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Meridian Central Partners, a prominent player in private equity and asset management, is hiring a Machine Learning Engineer in Oklahoma City, OK. This full-time position involves creating and implementing machine learning models to enhance data-driven decision-making and improve investment strategies.

You will develop and deploy machine learning models, analyze data to identify patterns and trends, and collaborate with team members to integrate machine learning solutions into existing systems. Your tasks will also include evaluating model performance, optimizing algorithms, and documenting your work for future reference.

You will join a team of professionals in a modern office environment in Oklahoma City, OK. The workplace is equipped with the latest technology and fosters a collaborative atmosphere to drive innovation and growth.

The salary range for this position is between $140,000 and $193,967 per year, providing a competitive compensation package. This paragraph previously included benefits but we separate them below.

• In addition to the base salary, employees are offered comprehensive health insurance plans, including medical, dental, and vision coverage.
• The company also provides a robust retirement plan with employer matching contributions, allowing employees to save for their future.
• Furthermore, professional development opportunities are available, such as tuition reimbursement and access to online courses and workshops, to help employees enhance their skills and advance their careers.

To be successful in this role, you should have a bachelor's degree in computer science, engineering, or a related field, along with 3-5 years of experience in machine learning. Proficiency in Python, TensorFlow, and scikit-learn is required. Strong analytical skills and the ability to communicate complex concepts are essential.

• Develop and implement machine learning models to analyze large datasets and generate actionable insights.
• Collaborate with cross-functional teams to understand business needs and translate them into machine learning solutions.
• Design and optimize machine learning algorithms to improve model performance and accuracy.
• Conduct thorough data exploration, preprocessing, and feature engineering to ensure high-quality input for machine learning models.
• Evaluate and select appropriate machine learning frameworks, libraries, and tools for our projects.
• Document and communicate machine learning models, processes, and findings to stakeholders.
• Stay up-to-date with the latest advancements in machine learning and data science to drive innovation within the organization.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2-4 years of experience in machine learning, data science, or a related field.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical concepts and techniques.
• Knowledge of data visualization tools and techniques.
• Ability to work independently and as part of a team in a fast-paced environment.
• Excellent problem-solving and analytical skills.