TalentAQ

TalentAQ

Python + Machine Learning / AI Engineers

Engineering•Full Time•

Required Skills
28 skills

Python
NumPy
Pandas
Matplotlib
Seaborn
Machine Learning
Scikit-learn
XGBoost
Deep Learning
TensorFlow
PyTorch
Keras
Neural Networks
CNN
RNN
LSTM
GANs
Transformers
NLP
Computer Vision
Data Preprocessing
Feature Engineering
Model Deployment
Flask
FastAPI
Docker
AWS
GCP

Job Description

<h3>Job Overview</h3><p>We are seeking passionate and innovative Python + Machine Learning/AI Engineers to join our dynamic team. As an integral part of our engineering group, you will develop intelligent, data-driven solutions that shape the future of technology. This role offers the opportunity to work on cutting-edge projects in areas such as deep learning, NLP, and generative AI, with applications in healthcare, finance, robotics, and automation.</p><h3>Key Responsibilities</h3><ul><li>Develop and implement machine learning and deep learning models using Python.</li><li>Design and build data preprocessing and feature engineering pipelines.</li><li>Deploy machine learning models using Flask, FastAPI, Docker, and AWS/GCP.</li><li>Collaborate with cross-functional teams to deliver high-quality AI solutions.</li><li>Stay current with the latest advancements in AI and machine learning.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in Python and related libraries (NumPy, Pandas, Matplotlib, Seaborn).</li><li>Experience with machine learning frameworks (Scikit-learn, XGBoost).</li><li>Knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras).</li></ul>

Job Overview

We are seeking passionate and innovative Python + Machine Learning/AI Engineers to join our dynamic team. As an integral part of our engineering group, you will develop intelligent, data-driven solutions that shape the future of technology. This role offers the opportunity to work on cutting-edge projects in areas such as deep learning, NLP, and generative AI, with applications in healthcare, finance, robotics, and automation.

Key Responsibilities

  • Develop and implement machine learning and deep learning models using Python.
  • Design and build data preprocessing and feature engineering pipelines.
  • Deploy machine learning models using Flask, FastAPI, Docker, and AWS/GCP.
  • Collaborate with cross-functional teams to deliver high-quality AI solutions.
  • Stay current with the latest advancements in AI and machine learning.

Required Skills

  • Proficiency in Python and related libraries (NumPy, Pandas, Matplotlib, Seaborn).
  • Experience with machine learning frameworks (Scikit-learn, XGBoost).
  • Knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras).

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