Machine Learning Engineers

Job Title: Machine Learning Engineer (Client-Facing)

Location: Remote (U.S. Citizens or Green Card Holders only) (C2C, Sponsorship, and OPT is not available for this position)

We are seeking a Machine Learning Engineer to provide technical leadership on client-facing projects. This role involves building and deploying advanced ML solutions-particularly around computer vision, vision-language models, and document processing pipelines-while balancing real-world business impact, ROI, and system-level design.

• 
  

  Design and develop custom machine learning models that deliver business value on time and within scope.

  
  
• 
  

  Build and maintain document processing pipelines, including data engineering components.

  
  
• 
  

  Fine-tune and implement recent vision-language models (e.g. LLaVA, DeepSeek).

  
  
• 
  

  Build and operate AI evaluation systems, comparing test versions of models to assess performance.

  
  
• 
  

  Lead system-level architecture decisions and own specifications to meet client expectations.

  
  
• 
  

  Translate theoretical models into robust, scalable code (primarily in Python) within a cloud environment (AWS).

  
  
• 
  

  Collaborate with cross-functional teams, including business and technical stakeholders, to define actionable engineering plans in ambiguous settings.

  
  
• 
  

  Mentor project teams, supporting both technical growth and project execution.

  
  
• 
  

  Contribute to internal initiatives such as interviews, tooling, and process improvement.

  
  
• 
  

  Stay current on advancements in ML, especially in computer vision and model evaluation.

  
  

• 
  

  Must-haves:

  
  
  
  
  • 
    

    Strong experience with vision-language models and document processing pipelines.

    
    
  • 
    

    Experience building/operating AI evaluation systems.

    
    
  • 
    

    Proficiency in Python, with ability to write clean, production-ready code.

    
    
  • 
    

    Experience working in cloud environments (AWS preferred).

    
    
  
  
  
  
• 
  

  General qualifications:

  
  
  
  
  • 
    

    5-7 years of experience for mid-level, 8-10 years for senior-level.

    
    
  • 
    

    Extensive professional experience building, designing, and deploying machine learning systems.

    
    
  • 
    

    Strong software engineering fundamentals (OOP, version control, code hygiene).

    
    
  • 
    

    Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

    
    
  • 
    

    Demonstrated success in client-facing or stakeholder-heavy environments.

    
    
  • 
    

    Excellent time management and interpersonal skills.

    
    
  • 
    

    Advanced degree (MS/PhD in Computer Science or related field) or equivalent work experience.