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Hallmark Global Technologies Inc Logo
AI / ML Software Engineer
Posted On: 14 days ago
Experience: 15+ years
Availability: Remote
Openings: 1
Category: AI/ML Software Engineer
Tenure: Contract - W2
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Description

You will design, develop, and deploy ML, LLM, and GenAI solutions from concept through production, owning reliability and operability. This role is remote.

Responsibilities

  • Lead technical design and architecture for GenAI systems, implementing optimization strategies to fine-tune models for NLP tasks like summarization and text generation.
  • Build and institutionalize MLOps capabilities, including automated pipelines for deployment, monitoring, and model lifecycle management to ensure scalability.
  • Conduct evaluations of generative models (e.g., GPT-4.1), iterate on architectures, and implement real-time monitoring to track performance and reliability.
  • Mentor junior engineers through design and code reviews, pairing, and coaching to raise engineering quality and delivery discipline.
  • Communicate AI/ML capabilities and results to technical and non-technical stakeholders while staying current with research advancements.

Required Skills

  • 10+ years of engineering experience, including 3-5+ years building, deploying, and operating applied AI/ML systems in production.
  • Proficiency in Python for model development, experimentation, and integration with OpenAI API.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and microservices design.
  • Solid understanding of statistics, machine learning fundamentals (classification, regression, time series, deep learning, reinforcement learning), and generative model architectures (GANs, VAEs).
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven ability to identify AI/ML challenges, implement optimizations, and manage model governance.

Preferred Skills

  • Familiarity with the financial services industry.
  • Expertise in designing pipelines using Retrieval-Augmented Generation (RAG).
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, and Graph-of-Thoughts prompting strategies.

Education

Bachelor's or Master's degrees

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