AI/ML Engineer

We are looking for a skilled AI/ML Engineer with 2–5 years of experience in developing, training, and deploying machine learning models. The ideal candidate should have strong expertise in Python, Machine Learning, PyTorch, deep learning, and AI model development. You will work with cross-functional teams to build scalable AI-powered solutions and intelligent applications.

Work Locations: San Francisco, CA | New York City, NY | Seattle, WA
Employment Type: Full-Time
Work Mode: On-site / Hybrid / Remote (depending on company requirements)

Key Responsibilities

• Design, develop, train, and deploy machine learning models.
• Build AI/ML solutions using Python and PyTorch.
• Develop and optimize deep learning algorithms.
• Collect, preprocess, and analyze large datasets.
• Implement supervised and unsupervised machine learning techniques.
• Evaluate model performance and improve accuracy.
• Work on NLP, computer vision, and predictive analytics projects.
• Deploy and maintain ML models in production environments.
• Collaborate with data engineers, software developers, and product teams.
• Monitor model performance and implement continuous improvements.
• Follow best practices for model optimization, scalability, and documentation.

Required Skills

• 2–5 years of experience in AI/ML engineering or related roles.
• Strong programming skills in Python.
• Hands-on experience with PyTorch.
• Solid understanding of Machine Learning and Deep Learning concepts.
• Experience with NumPy, Pandas, and Scikit-learn.
• Knowledge of neural networks and model optimization.
• Experience with data preprocessing and feature engineering.
• Understanding of model evaluation and validation techniques.
• Familiarity with Git and software development practices.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with TensorFlow or Keras.
• Knowledge of Natural Language Processing (NLP).
• Familiarity with Generative AI and Large Language Models (LLMs).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, and ML deployment pipelines.
• Experience with MLflow or similar model tracking tools.
• Understanding of MLOps and production ML systems.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, or equivalent practical experience.

Compensation & Benefits

• Annual Salary: $110,000 – $180,000.
• Competitive salary based on experience and technical expertise.
• Health, dental, and vision insurance.
• Paid vacation and holidays.
• Career development and learning opportunities.
• Opportunity to work on innovative AI/ML projects.

Application Process

Interested candidates can apply with their updated resume, highlighting their Python, Machine Learning, PyTorch expertise, and relevant AI/ML project experience.