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.