AI/ML Engineer

Overview

Remote
$60 - $80
Full Time
No Travel Required

Skills

Algorithms
Cloud Computing
Data Analysis
Apache Hadoop
Good Clinical Practice
Git
Data Structure
Amazon Web Services
Docker
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Kubernetes
Scalability
Pandas
Google Cloud Platform
Microsoft Azure
TensorFlow
Distributed Computing
Keras

Job Details

 

Job Title: AI/ML Engineer

Location: Remote (USA)
Pay Rate: Competitive | Based on USA Market Standards
Eligible Visas: , Experience Required: Minimum 5+ Years in AI/ML Engineering

About the Company

Tech Brothers Info Services is a technology-driven company committed to delivering advanced digital solutions to businesses across the United States. We specialize in cutting-edge software, cloud transformation, and AI-powered applications that empower organizations to achieve smarter, faster, and more scalable results.

Position Overview

We are actively seeking a highly experienced and passionate AI/ML Engineer to join our growing team. This is a fully remote role designed for professionals who thrive in fast-paced environments and are excited to build, deploy, and optimize AI/ML models that solve real-world problems.

Key Responsibilities

  • Design, develop, and deploy scalable machine learning models for classification, regression, NLP, computer vision, or recommender systems.

  • Work closely with data engineers, product managers, and business stakeholders to translate business requirements into ML solutions.

  • Preprocess large datasets, perform exploratory data analysis, feature engineering, and model validation.

  • Leverage tools like TensorFlow, PyTorch, Scikit-learn, and MLflow for end-to-end model development and deployment.

  • Optimize existing ML models for performance, accuracy, and scalability.

  • Stay updated with the latest research and apply novel techniques where appropriate.

Required Qualifications.

  • 5+ years of hands-on experience in AI/ML engineering or applied machine learning.

  • Strong programming skills in Python (NumPy, pandas, scikit-learn, etc.).

  • Experience with deep learning frameworks: TensorFlow, PyTorch, or Keras.

  • Solid understanding of data structures, algorithms, and model evaluation metrics.

  • Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and containerized environments (Docker/Kubernetes).

  • Proficiency in version control systems (Git) and ML lifecycle tools (MLflow, Airflow, etc.).

Preferred Skills

  • Experience with NLP, computer vision, or time series forecasting.

  • Familiarity with MLOps practices and deployment pipelines.

  • Knowledge of distributed computing and big data tools (e.g., Spark, Hadoop).

Apply Now

If you're ready to take your AI/ML expertise to the next level and make an impact with an innovative tech company, we encourage you to apply today!

 

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