AI/ML Engineer

Introduction

American Unit, Inc is seeking a hands-on AI/ML Engineer with strong experience in Machine Learning, Feature Engineering, ML Algorithms, Python, and Production ML Pipelines. The ideal candidate will have experience building, deploying, and maintaining scalable ML solutions in production environments.

Responsibilities

• Design, develop, and deploy production-grade Machine Learning models.
• Build end-to-end ML pipelines for training, deployment, and monitoring.
• Develop feature engineering workflows and optimize data pipelines.
• Translate business problems into scalable ML solutions.
• Work with structured and unstructured datasets (text, images, tabular).
• Build predictive analytics, clustering, and classification models.
• Deploy ML solutions on Azure, AWS, or GCP.
• Collaborate with engineering teams to integrate ML models into enterprise applications.
• Optimize model performance and lifecycle management.
• Support cloud-based AI/ML and MLOps initiatives.

Requirements

• 3–7 years of Machine Learning / AI experience.
• Strong Python programming.
• NumPy.
• Pandas (DataFrames).
• Scikit-learn.
• PyTorch or TensorFlow or Keras.
• Feature Engineering.
• Machine Learning Algorithms.
• Predictive Analytics.
• Classification & Regression Models.
• Clustering Algorithms.
• Neural Networks (FFNN).
• LSTM / Deep Learning.
• SQL.
• Data Pipelines.
• ML Deployment Pipelines.
• Model Lifecycle Management.
• Experience deploying ML models into production.
• Experience with structured and unstructured data.

Nice to Have

• Large Language Models (LLMs).
• Generative AI.
• Retrieval-Augmented Generation (RAG).
• NLP.
• MLOps.
• Databricks.
• Snowflake.
• Apache Spark.
• REST APIs.
• Streaming Data.
• Optimization Algorithms.
• Agentic AI.
• Azure, AWS, or GCP.

Benefits

(No benefits information was provided in the original job posting.)

About Company

(No 'About Company' section was provided in the original job posting.)

How to Apply

(No specific application instructions were provided beyond applying on the job board.)