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AI/ML Solution Engineer

Lorvin TechnologiesRockville, MD🇺🇸United StatesPosted 11 Aug 2026

Why This Role Stands Out

This hybrid AI/ML Solution Engineer role at Lorvin Technologies offers a fantastic opportunity to design and implement cutting-edge AI/ML solutions, driving significant business impact while continuously expanding your technical expertise. You'll thrive here if you possess a strong foundation in machine learning, enjoy collaborating with diverse teams, and are eager to stay at the forefront of technological advancements. Don't miss out on the chance to contribute to a reputable company and grow your career in a dynamic, flexible environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Key Responsibilities

  • Design and implement state-of-the-art AI/ML solutions to improve business functions.
  • Collaborate with different departments to understand business needs and pinpoint AI/ML application opportunities.
  • Stay updated with AI/ML advancements and industry trends.
  • Develop scalable and efficient AI/ML solutions
  • Research and enforce best AI/ML practices to enhance system performance.
  • Uphold data governance and security protocols.
  • Continuously enhance existing AI/ML solutions for better efficacy.
  • Lead d manage cross-functional teams.
  • Provide technical guidance and support to internal teams and stakeholders. Troubleshoot and debug technical issues.
 
Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • A minimum of 5 years of proven track record in developing and delivering AI/ML solutions.
  • Expert knowledge of machine learning, deep learning, and statistical modeling.
  • Strong understanding of technology trends and their potential impact on business.
  • Proficiency in Python, R, Java, or similar languages.
  • Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch).
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills and teamwork capabilities.
  • Experience with one or more cloud platforms (Azure/AWS preferred)
  • Experience using Git and modern DevOps practices

Skills

AWS
Machine Learning
Azure
Deep Learning
Git
Java
PyTorch
Python
TensorFlow

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