Machine Learning Engineer

Overview

Hybrid
$60 - $70
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

AI solutions
LLMs
generative AI
AWS services
machine learning
data science
AI
Python
MLOps
Artificial Intelligence
JavaScript

Job Details

Job Title: Machine Learning Engineer

Location: onsite in Plano TX, 2nd choice Reston VA

Duration: 6 months. C2H

Job Category: Software Development/ Engineering

Description:

Machine Learning Engineer

Position Description

Client has an immediate need for a Machine Learning Engineer to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest leaders in the secondary mortgage industry. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies.

  • This position is located at a client site in Reston, VA. A hybrid working model is acceptable.

Your future duties and responsibilities

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team and drive the development and optimization of AI solutions. This role is ideal for someone who thrives at the intersection of machine learning, large language models (LLMs), and cloud infrastructure. You will collaborate closely with business stakeholders to design, build, and refine intelligent systems that leverage cutting-edge technologies.

Required qualifications to be successful in this role

  • Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
  • Collaborate with business teams to understand requirements and translate them into ML models and prompt-based solutions.
  • Optimize and adapt prompt engineering strategies to improve model performance and relevance.
  • Integrate and deploy models using AWS services including Bedrock, S3, EC2, Lambda, and others.
  • Build and maintain scalable data pipelines and APIs to support ML workflows.
  • Monitor model performance and iterate based on feedback and metrics.
  • Stay current with advancements in AI/ML and cloud technologies to ensure our solutions remain cutting-edge.
  • 3+ years of experience in machine learning, data science, or AI engineering.
  • Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda
  • Familiarity with MLOps practices and tools for model deployment and monitoring.
  • Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.
  • Strong programming skills in data analytics related languages, such as Python, R, or JavaScript.
  • Experience with AWS services such as S3, EC2, Lambda, and particularly SageMaker for machine learning model deployment.
  • Understanding of quantitative/statistical/ML/AI modeling methodologies.
  • Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
  • Working experience in EKS deployed application is a plus.

Preferred Qualifications

  • Experience with fine-tuning or customizing foundation models.
  • Knowledge of data privacy and security best practices in cloud environments.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.

Education:

Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.

Skills:

  • Artificial Intelligence
  • JavaScript
  • Kubernetes
  • Python
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.