AI/ML Engineer (W2 Only)

Overview

Hybrid

Depends on Experience

Contract - W2

Skills

Job Details

Job Title: AI/ML Engineer (W2 Only)

Experience: 6 - 10 Years
Employment: W2 Only (H1B Transfer / EAD)

Job Description:

We are looking for an experienced AI/ML Engineer with strong expertise in building, deploying, and optimizing machine learning solutions. The ideal candidate will work on end-to-end model development, data processing, and cloud-based ML pipelines.

Key Responsibilities:

Design, develop, and deploy machine learning models and AI solutions.
Work on data preprocessing, feature engineering, and large-scale data pipelines.
Build scalable ML workflows using cloud platforms (AWS / Azure / Google Cloud Platform).
Optimize model performance, accuracy, and latency.
Collaborate with data engineers, product teams, and stakeholders to define ML requirements.
Implement MLOps best practices, CI/CD, and monitoring for ML models.
Work with Python, PySpark, TensorFlow, PyTorch, and other ML frameworks.

Required Skills:

Strong programming skills in Python.
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Knowledge of deep learning, NLP, and predictive modeling.
Cloud experience (AWS/Azure/Google Cloud Platform) with ML services.
Experience with data pipelines, Databricks, or Spark (optional but preferred).
Strong understanding of algorithms, statistics, and model evaluation.

Nice to Have:

Experience with LLMs, generative AI, or vector databases.
Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).

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.