AI/ML Engineer

AI/ML Engineer

Posted Today by 1764398001

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Negotiable
Outside
Remote
USA
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Algorithms Artificial Intelligence Cloud Computing Cloud Technology Data Preprocessing Data Science Java (Programming Language) Keras (Neural Network Library) Machine Learning Machine Learning Algorithms Natural Language Processing Python (Programming Language) PyTorch (Machine Learning Library) TensorFlow

Summary: The AI/ML Engineer role involves designing, building, and deploying advanced machine learning models and AI-driven solutions. The candidate should possess experience in machine learning algorithms, pipelines, and production deployment. This position is remote and requires a strong foundation in data science and engineering principles. The ideal candidate will also stay updated with advancements in AI and ML technologies.

Key Responsibilities:

  • Develop & deploy ML models (predictive analytics, NLP, CV, etc.)
  • Build end-to-end ML pipelines
  • Perform data preprocessing & feature engineering
  • Apply ML/statistical techniques
  • Optimize and fine-tune models
  • Implement real-time AI solutions
  • Integrate models into production
  • Stay updated with AI/ML advancements
  • Monitor production model performance

Key Skills:

  • Bachelor's/Master's in CS/DS/Engineering
  • Python, R, Java, or C++
  • ML algorithms (supervised, unsupervised, RL)
  • TensorFlow, PyTorch, Keras, Scikit-learn
  • Strong DS/algorithms/statistical knowledge
  • Experience with deploying ML models
  • Cloud: AWS/Azure/Google Cloud Platform
  • Strong analytical and problem-solving skills

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

AI/ML Engineer
Remote
Rate: $55 on W2

Job Description:
We are looking for an AI/ML Engineer to design, build, and deploy advanced machine learning models and AI-driven solutions. The ideal candidate should have experience in ML algorithms, pipelines, and production deployment.

Responsibilities:
Develop & deploy ML models (predictive analytics, NLP, CV, etc.)
Build end-to-end ML pipelines
Perform data preprocessing & feature engineering
Apply ML/statistical techniques
Optimize and fine-tune models
Implement real-time AI solutions
Integrate models into production
Stay updated with AI/ML advancements
Monitor production model performance

Skills & Qualifications:
Bachelor s/Master s in CS/DS/Engineering
Python, R, Java, or C++
ML algorithms (supervised, unsupervised, RL)
TensorFlow, PyTorch, Keras, Scikit-learn
Strong DS/algorithms/statistical knowledge
Experience with deploying ML models
Cloud: AWS/Azure/Google Cloud Platform
Strong analytical and problem-solving skills

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