AI/ML Engineer

Tech3pillars Technologies

  • NULL, AK
  • 13 days ago

    Highlights

    The ideal candidate should have hands-on experience with Python, machine learning, deep learning, Generative AI, LLMs, and production-grade AI applications . We are seeking an experienced AI/ML Engineer with Python development experience to design, develop, deploy, and maintain machine learning and AI solutions.

    Numbers & Facts

    LocationNULL, AK

    Description

    Job Title: AI/ML Engineer Python
    Experience: 5+ Years
    Location: Boston, MA Onsite

    Job Summary

    We are seeking an experienced AI/ML Engineer with Python development experience to design, develop, deploy, and maintain machine learning and AI solutions. The ideal candidate should have hands-on experience with Python, machine learning, deep learning, Generative AI, LLMs, and production-grade AI applications.

    Key Responsibilities

    • Design and develop scalable AI/ML solutions using Python.
    • Build, train, evaluate, and deploy machine learning models for business applications.
    • Develop data preprocessing, feature engineering, model training, and inference pipelines.
    • Work with supervised and unsupervised machine learning algorithms.
    • Develop solutions using NLP, Generative AI, LLMs, and/or deep learning.
    • Build RAG (Retrieval-Augmented Generation) applications using vector databases and embedding models.
    • Integrate LLMs through APIs such as Azure OpenAI, OpenAI, AWS Bedrock, or Google Vertex AI.
    • Develop AI/ML services and applications using Python, FastAPI/Flask, REST APIs, and microservices.
    • Implement prompt engineering, model evaluation, and optimization techniques.
    • Work with data scientists, software engineers, and business stakeholders to translate requirements into AI solutions.
    • Deploy and operationalize models using Docker, Kubernetes, and cloud platforms.
    • Build and maintain ML pipelines and MLOps workflows for model deployment, monitoring, and retraining.
    • Monitor model performance, accuracy, latency, and data/model drift.
    • Troubleshoot production AI/ML applications and perform root-cause analysis.
    • Write clean, maintainable, testable Python code and participate in code reviews.

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