AI / ML Engineer

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AI/ML Engineer Job Opportunity in Bay Area, CA

Company: Triunity Software, Inc.

Position: AI/ML Engineer

Experience Required: 10+ years

Employment Type: Full-Time

Location: Bay Area, CA

Key Responsibilities:

  • Design, develop, and deploy machine learning models and algorithms to address real-world business challenges.
  • Collaborate with cross-functional teams to gather requirements, understand business goals, and deliver tailored AI/ML solutions.
  • Explore and experiment with cutting-edge machine learning techniques, frameworks, and libraries to enhance model performance and accuracy.
  • Optimize and scale machine learning algorithms for efficient handling of large datasets.
  • Conduct rigorous testing and validation to ensure the quality and reliability of AI/ML models.
  • Stay current with the latest advancements in artificial intelligence and machine learning research and technologies.

Note: Candidates with career gaps are encouraged to apply.

Basic Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Strong proficiency in Python and experience with libraries like TensorFlow, PyTorch, and scikit-learn.
  • Solid understanding of machine learning algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques.
  • Experience in 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 for effective teamwork.

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 like Hadoop and Spark.

Join Triunity Software, Inc. and be a part of our innovative team driving advancements in AI and machine learning. Apply today!