AI/ML Engineer

23 hours ago

Baltimore, Maryland, United States Alcor Full time $120,000 - $200,000 per year

Position Overview

We are seeking a hands-on AI/ML Engineer & Architect with strong technical expertise in building and integrating AI/ML solutions within enterprise applications. The ideal candidate will combine engineering depth with architectural understanding—capable of fine-tuning models, designing intelligent workflows, and integrating AI capabilities into existing business applications.

This position is hybrid, requiring occasional on-site collaboration in Texas.Key Responsibilities

  • Design, develop, and deploy AI/ML workflows integrated with core business applications.
  • Perform fine-tuning of machine learning models and support the creation of reusable, scalable AI solutions.
  • Implement AI-driven architectures leveraging AWS cloud services such as Lambda, RDS, SageMaker, and Bedrock.
  • Collaborate with business and technical teams to identify AI use cases and deliver production-ready solutions.
  • Develop and manage end-to-end MLOps pipelines and automation for data ingestion, model training, and deployment.
  • Evaluate and integrate pre-trained and third-party models into enterprise systems to enhance automation and intelligence.
  • Provide technical leadership, mentoring, and guidance on best practices for AI/ML implementation and architecture.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred or equivalent experience).
  • 10+ years of progressive, hands-on experience in application development and engineering.
  • 5–6 years of experience in solution architecture, systems engineering, or AI-related disciplines.
  • Proven experience leading technical teams and delivering enterprise-scale AI/ML projects.
  • Minimum 5 years of experience with cloud platforms (AWS or Azure).
  • Familiarity with architecture principles and frameworks such as TOGAF is a plus.
  • AWS AI/ML Professional Certification is highly desirable.

Required Technical Skills

  • Proven track record of implementing machine learning and AI solutions in production environments.
  • Strong experience with AWS services (Lambda, SageMaker, Bedrock, RDS, API Gateway, etc.).
  • Solid programming skills in Python, Spark, or R.
  • Understanding of AI services for speech, vision, and text, including generative AI.
  • Deep knowledge of machine learning algorithms, data pipelines, and statistical modeling.
  • Expertise in MLOps/DataOps lifecycles, deployment, and monitoring.
  • Experience integrating AI models into enterprise applications and APIs.

Soft Skills

  • Excellent written and verbal communication skills; ability to translate complex ideas into clear, concise messages.
  • Strong collaboration and interpersonal skills—able to work effectively with cross-functional teams.
  • Demonstrated ability to influence, negotiate, and facilitate discussions to drive alignment.
  • Skilled in visual communication and storytelling to present AI concepts to non-technical audiences.
  • Strategic thinker with strong problem-solving, analytical, and decision-making capabilities.
  • Proven stakeholder management and relationship-building skills across customers, vendors, and internal teams.

Location: Hybrid – Texas (TX)

Employment Type: Full-time

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