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Machine Learning Engineer

Machine Learning Engineer

HarnhamDallas, TX, United States
23 days ago
Job type
  • Full-time
Job description

Machine Learning Engineer – LLM Focus

Location : Dallas

Salary : $115,000 – $130,000 base + 15% Bonus

Company Overview :

Join a fast-growing, innovative organization at the forefront of artificial intelligence, committed to pushing boundaries in generative AI and Large Language Models (LLMs). They are solving cutting-edge problems with scalable machine learning and deploying solutions across industries.

Role Overview :

As a Senior Machine Learning Engineer with a specialization in LLMs, you will play a pivotal role in architecting, building, and deploying high-impact machine learning systems. You’ll collaborate cross-functionally with data scientists, research engineers, and business stakeholders to drive real-world applications of advanced AI.

Key Responsibilities :

  • Lead development of ML / LLM solutions for tasks like summarization, classification, Q&A, and RAG.
  • Collaborate on transformer models (e.g., GPT, LLaMA, Claude, Mistral).
  • Fine-tune and optimize pre-trained LLMs using best practices.
  • Build and maintain ML pipelines with MLFlow, Airflow, or Kubeflow.
  • Partner with MLOps / DevOps to ensure scalable, secure production systems.
  • Deploy models using Docker, Kubernetes, and serving frameworks (e.g., TensorFlow Serving, TorchServe, FastAPI).
  • Implement model versioning, blue-green / canary deployments, and performance monitoring.
  • Develop scalable data pipelines for text and embeddings.
  • Stay up to date with LLM / AI research and apply findings to real-world problems.
  • Document workflows and support knowledge sharing across the team.

Required Qualifications :

  • MSc or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or related STEM field.
  • Proven experience with LLMs and transformer-based architectures (e.g., BERT, RoBERTa, GPT, T5).
  • Expertise in developing and deploying ML models in production environments.
  • Strong Python programming skills; familiarity with ML / AI libraries (Hugging Face Transformers, TensorFlow, PyTorch).
  • Experience with cloud platforms (AWS preferred), container orchestration (Kubernetes), and distributed data processing (Apache Spark, Kafka).
  • Hands-on experience with ML tools including MLFlow, Airflow, and experiment tracking systems.
  • Solid understanding of DevOps and CI / CD pipelines for ML systems.
  • Strong communication skills with the ability to articulate technical details to non-technical stakeholders.

    • Preferred Experience :

  • Experience in retrieval-augmented generation (RAG), vector databases (e.g., Pinecone, FAISS, Weaviate), and embedding models.
  • Exposure to open-source LLM deployment frameworks like LangChain or LlamaIndex.
  • Knowledge of reinforcement learning from human feedback (RLHF), prompt engineering, and evaluation metrics for generative models.
  • Prior work in regulated or high-security environments (finance, healthcare, etc.) is a plus.

    • Compensation and Benefits :

  • Base Salary : $115,000 – $130,000
  • 15% Annual Bonus
  • hybrid work setup
  • Generous benefits package including health, dental, and vision insurance
  • Professional development budget and opportunities to attend top AI conferences

    • How to Apply :

    To express your interest in this opportunity, please submit your CV via the "Apply" link on this page. We look forward to hearing from you!

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    Machine Learning Engineer • Dallas, TX, United States