Senior AIML Engineer

Hybrid in Texas City, TX, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
12 Months
No Travel Required
On-site
$60 - $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • NumPy
  • LlamaIndex
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Mentorship
  • Google Cloud Platform
  • Kubernetes
  • LangChain
  • Lifecycle Management
  • Docker
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • Good Clinical Practice
  • Continuous Delivery
  • Continuous Integration
  • Databricks
  • Deep Learning
  • Cloud Computing
  • Collaboration
  • Communication
  • Conflict Resolution
  • Amazon Web Services
  • Analytical Skill
  • Apache Spark
  • Snow Flake Schema
  • Prompt Engineering
  • Python
  • SQL
  • Scalability
  • TensorFlow
  • Pandas
  • Performance Tuning
  • Predictive Analytics
  • Problem Solving
  • Artificial Intelligence
  • Microservices
  • Microsoft Azure
  • Natural Language Processing
  • PyTorch
  • Training
  • Vector Databases
  • Vertex
  • Workflow
  • scikit-learn

Summary

Senior AI/ML Engineer

Experience: 12+ Years
Job Type: W2 Contract

Job Summary

We are seeking a highly experienced Senior AI/ML Engineer with 12+ years of IT experience and strong expertise in designing, developing, deploying, and optimizing AI/ML solutions. The ideal candidate should have hands-on experience with Machine Learning, Generative AI, LLMs, NLP, Python, cloud platforms, and MLOps.

Key Responsibilities

  • Design and develop scalable AI/ML models and solutions for enterprise applications.

  • Develop and deploy Generative AI, LLM, NLP, and predictive analytics solutions.

  • Build RAG pipelines, AI agents, embeddings, vector search, and prompt engineering solutions.

  • Work with frameworks such as LangChain, LangGraph, LlamaIndex, PyTorch, TensorFlow, and Hugging Face.

  • Develop and optimize machine learning models using Python, Pandas, NumPy, and Scikit-learn.

  • Integrate AI/ML solutions with AWS, Azure, or Google Cloud Platform services.

  • Implement MLOps pipelines for model training, deployment, monitoring, and lifecycle management.

  • Work with Docker, Kubernetes, CI/CD, APIs, and microservices.

  • Collaborate with data engineers, software developers, architects, and business teams.

  • Perform model evaluation, tuning, monitoring, and performance optimization.

  • Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.

Required Skills

  • 12+ years of overall IT experience with strong AI/ML experience.

  • Strong Python programming skills.

  • Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI.

  • Experience with LLMs, RAG, embeddings, vector databases, and AI agents.

  • Experience with LangChain / LangGraph / LlamaIndex.

  • Strong knowledge of PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy.

  • Experience with AWS / Azure / Google Cloud Platform AI/ML services.

  • Knowledge of MLOps, MLflow, Docker, Kubernetes, and CI/CD.

  • Strong experience with REST APIs, microservices, SQL, and data pipelines.

  • Excellent communication, analytical, and problem-solving skills.

Preferred Skills

  • Experience with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI APIs, or Claude.

  • Experience building multi-agent AI systems and agentic workflows.

  • Knowledge of FAISS, Pinecone, Weaviate, or other vector databases.

  • Experience with Spark, Databricks, Snowflake, or modern data platforms.

  • Experience leading AI/ML projects and mentoring junior engineers.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10477291
  • Position Id: 9108678
  • Posted 9 hours ago
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