Senior Machine Learning Engineer

Senior Machine Learning Engineer

Location

Hybrid – Arlington, Virginia

Employment Type

Full-time

BizFirst is assisting our client with the hiring of a Senior Machine Learning Engineer to help design, build, and deploy production-grade machine learning systems that will fundamentally reshape how the organization operates internally. This is a high-impact role at the center of the client’s AI transformation effort, working across data pipelines, model development, and production deployment in a collaborative, fast-moving environment.

Our client is a mid-market professional services organization that is actively rethinking how it designs and executes its core business operations through artificial intelligence and automation. The company is building a dedicated AI capability to embed machine learning and generative AI into its most critical internal workflows – from decision support and process automation to real-time analytics and intelligent document processing.

What will you do

The ideal candidate will have significant experience (7–10 years) in machine learning engineering, with a strong background in building and shipping models at scale in production environments. Experience working on large-scale data systems and collaborating closely with data scientists, product teams, and platform engineers is essential. Hands-on experience with large language models (LLMs) and generative AI frameworks is strongly preferred.

Responsibilities

• Design, develop, and deploy scalable machine learning models and pipelines into production environments.
• Translate business problems into well-scoped ML solutions in close collaboration with data scientists, engineers, and business stakeholders.
• Build and maintain end-to-end ML pipelines from data ingestion and feature engineering through model serving and monitoring.
• Lead model evaluation, A/B testing, and ongoing performance monitoring across deployed systems.
• Partner with MLOps and platform engineering teams to ensure reliable, reproducible, and cost-effective model deployment.
• Drive technical decisions on ML frameworks, model architectures, and tooling standards across the AI practice.
• Mentor and develop junior ML engineers, establishing team-wide engineering standards and code quality practices.
• Document model design decisions, experiment results, and deployment configurations to support organizational learning.

Requirements

US Citizen or Permanent Resident authorized to work in the United States.

Experience

7–10 years of experience in machine learning engineering or applied ML, with a strong emphasis on production systems.

ML Frameworks

Expert-level proficiency in PyTorch, TensorFlow, or equivalent frameworks, with a proven record of shipping models to production.

Engineering

Advanced Python skills; comfort with distributed systems, containerization (Docker/Kubernetes), and cloud-based ML infrastructure (AWS, GCP, or Azure).

Data

Solid command of feature engineering, data versioning, and large-scale data processing (Spark, Ray, or similar).

Collaboration

Strong ability to work across technical and non-technical stakeholders, clearly communicating model behavior, tradeoffs, and limitations.

Preferred

Hands-on experience with large language models (LLMs), fine-tuning, retrieval-augmented generation (RAG), or prompt engineering pipelines.

Familiarity with MLOps platforms such as MLflow, Weights & Biases, or Kubeflow.

Experience building AI-powered internal tools, copilots, or automation workflows.

Background in enterprise or professional services environments.

Advanced degree (MS or PhD) in Machine Learning, Computer Science, Statistics, or a related field.

Benefits

• Family Health Care (54% cost covered for the entire family)
• Family Dental (54% cost covered for the entire family)
• Family Vision (54% cost covered for the entire family)
• Flexible Spending Account
• Performance bonuses tied to project and delivery milestones
• Lifetime Event Bonuses (e.g., new child, marriage)
• Profit-sharing arrangement for any work brought into the company
• Unlimited Leave with Approval
• 401k – 100% employer match on first 4% invested
• $1,500 annual training and conference budget

Job Type

Full-time, Permanent Position

Work Authorization

US Citizen or Permanent Resident; no active security clearance required.

Schedule

Monday to Friday

Work Location

Hybrid – Arlington, Virginia