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