Senior Machine Learning Engineer

Jobot; Richmond (VA); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Remote Work

Competitive Compensation Package

Medical, Dental, and Vision

401(k) with 4% matching

Liberal PTO vacation policy

Annual Wellness Budget

Job summary

A technology company based in Virginia is seeking a Senior Machine Learning Engineer to lead machine learning initiatives. This role includes developing and implementing models in collaboration with data scientists and engineers. Ideal candidates have over 8 years of experience, strong Python skills, and are proficient with machine learning frameworks. The position offers a competitive salary and remote work options.

Qualifications

• 8+ years of professional experience in software engineering or IT.
• Ability to obtain US Government security clearance.
• Experience deploying, tuning, and maintaining ML models in production (MLOps).

Responsibilities

• Lead evaluation of new technologies through prototypes and proofs of concept.
• Guide enterprise-wide adoption of modern tools and AI/ML solutions.
• Provide technical leadership and mentorship to junior IT specialists.

Skills

Python

Machine Learning frameworks (TensorFlow, PyTorch)

DevOps skills

Full-stack development

Excellent communication

Problem-solving skills

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Amazon SageMaker

CI/CD pipelines

Terraform

AWS

Google Cloud

Azure

Job description

Overview

We are seeking a passionate and talented Senior Machine Learning Engineer to join our innovative tech services team. The ideal candidate will be a key player in shaping the direction and execution of our company's machine learning initiatives. You will be working with a team of data scientists, engineers, and product managers to develop and implement machine learning models that will drive business growth and enhance user experience.

Salary

Base pay range: $140,000.00/yr - $170,000.00/yr

Why join us?

• Remote Work
• Competitive Compensation Package
• Medical, Dental, and Vision
• Life Insurance, Short/Long Term Disability
• Employee Assistance Program
• 401(k) with 4% matching
• Liberal PTO vacation policy
• Generous Annual Continuing Education
• Annual Wellness Budget
• Bonus Incentive Programs (Employee referrals and performance-based rewards)

Job Details

DC based government consulting prime working on enterprise modernization of production systems to implement modern machine learning technologies to major production systems starting with proof of concept work through implementation at scale over the next 2-5 years.

Responsibilities

• Lead evaluation of new or emerging technologies through prototypes and proofs of concept
• Analyze and clearly communicate the benefits and risks of adopting new technologies
• Serve as a hands-on technical lead across development, operations, and security in cloud environments
• Guide enterprise-wide adoption of modern tools, cloud platforms, and AI/ML solutions
• Provide technical leadership and mentorship to junior IT specialists and engineers
• Balance hands-on engineering with strategic architectural planning and system design

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Ability to obtain US Government security clearance
• 8+ years of professional experience in software engineering or IT
• Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Experience deploying, tuning, and maintaining ML models in production (MLOps)
• Experience with Amazon SageMaker
• Experience with cloud platforms (AWS, Google Cloud, or Azure); deep AWS experience strongly preferred
• Strong DevOps skills: CI/CD pipelines, infrastructure as code (CDK or Terraform), automation, and monitoring
• Full-stack development experience
• Frontend React, TypeScript
• Backend Python, Pandas, Scikit-learn
• Data PostgreSQL, S3
• Infrastructure as Code Terraform or AWS CDK
• Strong system architecture skills – designs secure, scalable systems with attention to both detail and big-picture strategy
• Excellent communication and problem-solving skills
• Ability to quickly learn and adapt to new projects and technologies

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Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting
• Software Development