Data Scientist / AI & Machine Learning Engineer

Overview

Remote
$DOE
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

GIT
Rest APIs
Python
Agile/Scrum
Machine Learning
data visualization
Generative AI (LLMs)

Job Details

Job Title: Data Scientist / AI & Machine Learning Engineer

Location: Remote

Job Summary

We are seeking a highly skilled Data Scientist / AI & Machine Learning Engineer to design, develop, and deploy scalable data-driven and AI solutions. The ideal candidate will work remotely with cross-functional teams to transform complex data into actionable insights and production-ready machine learning models.

Key Responsibilities

  • Analyze large, structured and unstructured datasets to extract insights and trends

  • Design, build, train, and deploy machine learning and AI models

  • Develop predictive, classification, recommendation, and NLP models

  • Perform data preprocessing, feature engineering, and model optimization

  • Implement end-to-end ML pipelines (training, validation, deployment, monitoring)

  • Work with stakeholders to translate business problems into analytical solutions

  • Deploy models using cloud platforms and MLOps best practices

  • Continuously evaluate model performance and improve accuracy

  • Document methodologies, models, and results clearly

Required Skills & Qualifications

  • Strong proficiency in Python (NumPy, Pandas, Scikit-learn)

  • Experience with Machine Learning & Statistical Modeling

  • Hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras)

  • Solid understanding of probability, statistics, and linear algebra

  • Experience with SQL and data manipulation

  • Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)

  • Experience deploying models using REST APIs or microservices

  • Knowledge of Git, Agile/Scrum methodologies

  • Strong analytical, problem-solving, and communication skills

Preferred / Nice-to-Have Skills

  • Experience with NLP, Computer Vision, or Generative AI (LLMs)

  • Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes)

  • Cloud experience: AWS / Azure / Google Cloud Platform

  • Experience with Big Data tools (Spark, Hadoop)

  • Exposure to AutoML or AI platforms

  • Prior experience in remote or distributed teams

Education

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, Mathematics, or related field

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.