AI / ML Engineer Bay Area (3)

AI / ML Engineer

Full Time • Bay Area (3)
Experience: 10 + yrs. 
Job Type: Full time
Location: Bay area, CA
Responsibilities:

  • Design, develop, and deploy machine learning models and algorithms to solve business problems.
  • Collaborate with cross-functional teams to gather requirements, understand business objectives, and deliver AI/ML solutions.
  • Explore and experiment with new machine learning techniques, frameworks, and libraries to improve model performance and accuracy.
  • Optimize and scale machine learning algorithms to handle large volumes of data efficiently.
  • Conduct thorough testing and validation to ensure the quality and reliability of AI/ML models.
  • Stay up-to-date with the latest advancements in artificial intelligence and machine learning research and technologies.
*** Candidates, with Career gap can also apply.
Qualifications:
  • Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field.
  • Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and management.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Qualifications:
  • Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning.
  • Knowledge of software development best practices, including version control, testing, and code review.
  • Experience with big data technologies such as Hadoop, Spark, etc.
Compensation: $90,000.00 - $130,000.00 per year




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