AI/ML Engineer (US)

EdgeQ Technologies Private Limited; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

EdgeQ Technologies Private Limited is seeking an AI/ML Engineer to design, train and deploy machine learning solutions in a hybrid work environment in San Francisco. You will collaborate with software and data teams to deliver scalable ML systems.

The role emphasizes building models with Python, PyTorch, and TensorFlow, handling data prep, and deploying production-ready pipelines in a fast-paced setting.

Qualifications

• 2–5 years of professional AI/ML engineering experience.
• Strong proficiency in Python.
• Hands-on experience with PyTorch and/or TensorFlow.
• Solid understanding of machine learning algorithms and deep learning concepts.
• Experience with data preprocessing, feature engineering, and model evaluation.

Responsibilities

• Develop and implement machine learning models using Python.
• Build, train, evaluate, and optimize deep learning models.
• Prepare, clean, and analyze large datasets for machine learning applications.
• Develop model training and inference pipelines.
• Deploy and monitor ML models in production environments.
• Collaborate with software engineers, data scientists, and product teams.

Skills

Python

PyTorch

TensorFlow

Machine Learning

Data preprocessing

Model evaluation

Tools

Docker

Kubernetes

scikit-learn

NumPy

Pandas

Job description

We are seeking a talented AI/ML Engineer to join our team. The role focuses on designing, developing, training, and deploying machine learning solutions in a hybrid work environment. The ideal candidate has 2–5 years of experience with Python, PyTorch, and TensorFlow.

Key Responsibilities

• Develop and implement machine learning models using Python.
• Build, train, evaluate, and optimize deep learning models.
• Prepare, clean, and analyze large datasets for machine learning applications.
• Develop model training and inference pipelines.
• Deploy and monitor ML models in production environments.
• Collaborate with software engineers, data scientists, and product teams.

Required Qualifications

• 2–5 years of professional experience in AI/ML engineering.
• Strong proficiency in Python.
• Hands‑on experience with PyTorch and/or TensorFlow.
• Solid understanding of machine learning algorithms and deep learning concepts.
• Experience with data preprocessing, feature engineering, and model evaluation.

Nice to have

• Experience with NLP, generative AI, or computer vision.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, or ML deployment pipelines.
• Experience with scikit‑learn, NumPy, and Pandas.