Senior AI/ML Engineer — Real-World Impact

Atlas Technologies, Inc.; South Carolina; On-site; USD 140,000 - 200,000; Full time

Job summary

Atlas Technologies, Inc. in the United States is seeking a Senior Applied AI-Machine Learning Engineer to design, build, and operationalize advanced AI/ML solutions that address mission‑critical problems.

This role blends research, prototyping, and practical engineering to deliver AI-enabled applications deployed into production systems. You will lead solution architectures, select models, develop experiments, and translate complex concepts into scalable capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, ML, Data Science, Engineering, or related field
• 3+ years of experience in applied AI/ML engineering, including production deployments
• Experience with LLMs, fine‑tuning, retrieval‑augmented generation (RAG), prompt engineering, or custom model training
• Experience with vector databases, high‑dimensional embeddings, and semantic search
• Experience applying LoRA adapters for efficient fine – tuning of foundation models, including training, evaluation, and integration into production pipelines
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit‑learn, Hugging Face, LangChain, or similar
• Experience building and operating AI/ML systems in air‑gapped environments
• Deep understanding of model development: supervised/unsupervised learning, neural networks, transformers, time‑series, embeddings
• Familiarity with modern AI/ML ops tooling: MLflow, SageMaker, Vertex AI, Databricks, or equivalent
• Strong understanding of API design, microservices, containers, and CI/CD for ML
• Ability to connect technical solutions to business value and communicate effectively with executives and non‑technical stakeholders

Responsibilities

• Design, build, and deploy scalable AI/ML tools for generative AI use cases
• Develop end-to-end ML pipelines, including LLM tool integration, data ingestion, feature engineering, model training, evaluation, and monitoring
• Implement production-grade inference systems and integrate ML models into applications, APIs, and microservices
• Lead experimentation, define hypotheses, run evaluations, assess model performance, and identify improvement strategies
• Work closely with engineering teams to build robust, secure, and maintainable AI-enabled architectures
• Provide periodic instruction and prompt fine‑tuning to resolve newly discovered hallucination vectors, user‑reported biases, or changes in operational terminology
• Partner with domain SMEs to translate real‑world constraints into effective features, labels, and model requirements
• Evaluate emerging AI technologies, frameworks, and foundation models and recommend their use in mission‑relevant applications
• Mentor junior engineers and contribute to internal standards, coding practices, and reusable components
• Ensure responsible AI practices, bias evaluation, data governance, model explainability, and ethical use of automated systems
• Prepare demos, prototypes, and proof‑of‑concept integrations that clearly illustrate feasibility and value

Skills

Python

LLMs

Prompt engineering

Vector databases

CI/CD for ML

MLOps

Distributed systems

Python ML libraries

Education

Bachelor's or Master’s in CS/ML/Data Science

Tools

TensorFlow

PyTorch

Hugging Face

LangChain

SageMaker

Job description

Atlas Technologies, Inc. in the United States is seeking a Senior Applied AI-Machine Learning Engineer to design, build, and operationalize advanced AI/ML solutions that address mission‑critical problems.

This role blends research, prototyping, and practical engineering to deliver AI-enabled applications deployed into production systems. You will lead solution architectures, select models, develop experiments, and translate complex concepts into scalable capabilities.