AI Summary
Design and develop machine learning algorithms and deep learning applications and systems. Solve complex problems using multilayered data sets. Identify potential biases in data distribution and mitigate their impact on real-world model performance.
Key Highlights
Design and develop machine learning algorithms and deep learning applications and systems
Solve complex problems using multilayered data sets
Identify potential biases in data distribution and mitigate their impact on real-world model performance
Key Responsibilities
Design and develop machine learning algorithms and deep learning applications and systems
Solve complex problems using multilayered data sets
Identify potential biases in data distribution and mitigate their impact on real-world model performance
Ensure algorithms generate accurate and effective user recommendations
Conduct machine learning testing and experimentation, documenting findings and results
Train, retrain, and monitor machine learning systems and models as needed
Technical Skills Required
Benefits & Perks
Dental insurance
Health insurance
Paid time off
Nice to Have
Impeccable analytical and problem-solving skills
Strong math and computer skills, with a deep understanding of probability, statistics, and algorithms
In-depth knowledge of machine learning frameworks, like Scikit-Learn PyTorch,TensorFlow
Job Description
Benefits:
- Dental insurance
- Health insurance
- Paid time off
100% Remote
Immediate Interview
Skills:-
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Design and develop machine learning algorithms and deep learning applications and systems.
- Possess deep experience in time series prediction models with E-commerce/retail use cases.
- Solve complex problems using multilayered data sets, including optimizing existing machine learning libraries and frameworks.
- Identify potential biases in data distribution and mitigate their impact on real-world model performance.
- Ensure algorithms generate accurate and effective user recommendations.
- Conduct machine learning testing and experimentation, documenting findings and results.
- Train, retrain, and monitor machine learning systems and models as needed.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Impeccable analytical and problem-solving skills
- Strong math and computer skills, with a deep understanding of probability, statistics, and algorithms.
- In-depth knowledge of machine learning frameworks, like Scikit-Learn PyTorch,TensorFlow
- Experience in time series prediction models with E-commerce/retail use cases.
- Familiarity with data structures, data modeling, and software architecture.
- Deep experience in working with Python, Java, and R ,AWS Cloud , Snowflake
- Expertise of building machine learning systems and Hyper parameter tuning
- Bachelor's degree (or equivalent) in computer science, mathematics, or a related field.
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