AI/ML Engineer (US)

EDGEQ TECHNOLOGIES PRIVATE LIMITED

United States, New York, New York City

On-site · Full-time

USD 120,000 – 200,000 / year

AI/ML Engineer

Location: San Francisco, CA; New York, NY; Seattle, WA; Boston, MA; or Austin, TX

Employment Type: Full-time

About the Role

We are seeking an AI/ML Engineer to design, develop, deploy, and optimize machine learning and AI solutions. The ideal candidate has hands-on experience with Python, machine learning, PyTorch, and TensorFlow, and is passionate about building production-ready AI systems.

Key Responsibilities

  • Develop and implement machine learning and deep learning models.
  • Build, train, evaluate, and optimize ML models using PyTorch and TensorFlow.
  • Develop scalable AI/ML solutions using Python.
  • Prepare, clean, transform, and analyze large datasets.
  • Develop model training and inference pipelines.
  • Deploy ML models into production environments.
  • Monitor model performance and improve accuracy, scalability, and reliability.
  • Collaborate with Data Scientists, Software Engineers, Product Managers, and other stakeholders.
  • Research emerging AI/ML techniques and apply relevant technologies to business challenges.
  • Write clean, maintainable, well-tested production code.
  • Contribute to MLOps, model lifecycle management, and automation efforts.

Required Qualifications

  • 2–7 years of professional experience in AI/ML, machine learning engineering, data science, or a related field.
  • Strong programming skills in Python.
  • Hands-on experience with machine learning and deep learning.
  • Strong experience with PyTorch and/or TensorFlow.
  • Solid understanding of ML algorithms, model evaluation, and optimization techniques.
  • Experience with data processing and ML libraries such as NumPy, Pandas, and Scikit-learn.
  • Experience building and deploying production ML models.
  • Strong problem-solving and analytical skills.
  • Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Preferred Qualifications

  • Experience with Generative AI, LLMs, NLP, computer vision, or recommendation systems.
  • Knowledge of Transformers, Hugging Face, RAG, embeddings, and vector databases.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with Docker, Kubernetes, CI/CD, and MLOps.
  • Experience with ML platforms and model-serving technologies.
  • Knowledge of distributed computing and large-scale ML systems.

Compensation & Benefits

  • Salary range: $120,000–$200,000+ per year, depending on experience, skills, and location.
  • Comprehensive benefits package, including health, dental, and vision insurance.
  • 401(k) and other applicable retirement benefits.
  • Paid time off and company holidays.
  • Opportunities to work on cutting-edge AI/ML technologies.
  • Career growth and professional development opportunities.

Ideal Candidate

An experienced, Python-focused ML engineer who can manage AI/ML models from data preparation and experimentation through training, deployment, and production optimization.

How to Apply

To apply, please share your resume by contacting us via WhatsApp at +919392009032.