Python AI/ML Developer

ConglomerateIT LLCabout 1 year ago
Dallas, Texas, United States
Remote
Contract
Junior Level (1-3 years)

Job Description

Position Overview

We are seeking a Python AI/ML Developer to design, develop, and deploy AI-driven applications and machine learning solutions. The ideal candidate will demonstrate strong expertise in Python programming, advanced machine learning frameworks, and the ability to build scalable ML models for real-world challenges. This is a Contract role with W2/1099 Only terms and is offered as a Fully Remote opportunity.

Key Responsibilities

  • Develop, train, and optimize AI/ML models using Python.
  • Work with ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
  • Build and integrate end-to-end ML pipelines into production systems.
  • Implement AI use cases in NLP, Computer Vision, or Predictive Analytics.
  • Collaborate with data scientists, product teams, and engineers to translate requirements into technical solutions.
  • Deploy and maintain AI/ML models on cloud environments (AWS, GCP, Azure).
  • Ensure best practices in code quality, performance, and scalability.

Required Qualifications

  • Strong proficiency in Python with libraries such as Pandas, NumPy, and Scikit-learn.
  • Hands-on experience with TensorFlow, PyTorch, or Keras for deep learning.
  • Solid understanding of machine learning algorithms, neural networks, and optimization techniques.
  • Experience building REST APIs or microservices to serve ML models.
  • Familiarity with cloud ML services such as AWS SageMaker, GCP Vertex AI, or Azure ML.
  • Knowledge of MLOps tools (Docker, Kubernetes, MLflow) is a plus.
  • Strong problem-solving and analytical skills.

Preferred Qualifications

  • Experience with Generative AI/LLMs (GPT, BERT, Stable Diffusion, etc.).
  • Knowledge of big data frameworks (Spark, Hadoop).
  • Exposure to statistics, probability, and advanced mathematics for AI/ML.

Required Skills

Scikit-learn
Docker
Cloud Services (AWS, GCP, Azure)
Pandas
Python
MLflow
TensorFlow
REST APIs
MLOps
NumPy
Keras
PyTorch
Kubernetes