ML Engineer-: Santa Clara, California-required
Salary undisclosed
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Role: Machine Learning Engineer
Location : Santa Clara County, California, United States
Work Type : Full time
Number of positions : 7
Requirements:
- Good foundation and practical experience in executing multiple ML Projects
- Strong statistical background professionally or academically
- Graded Certifications or a degree in Machine Learning is a must
- Expertise with ML concepts like: Classification algorithms, regression, clustering and semi-supervised learning
- Exposure to ML Explainability
- Familiarity with Time Series concepts like AR, ARIMA, SARIMA, Exponential Smoothing, etc
- Familiarity with Neural networks and time dependent neural networks like GRUs and LSTMs.
- Proficiency in utilizing any of the public cloud providers for designing, building and deploying enterprise grade ML solutions.
- 15+ years of total experience with minimum 7+ years of relevant experience
Good to have:
- Hands on experience with MLOps
- Creating end to end inferencing pipelines for monitoring concept drift and data drift
- Experience with NLP or Gen AI
- Recommender Systems
Please share skill matrix out of 5 on below skill.
AWS cloud skills:
Machine Learning:
GenAI:
LLM:
LLMOps:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Role: Machine Learning Engineer
Location : Santa Clara County, California, United States
Work Type : Full time
Number of positions : 7
Requirements:
- Good foundation and practical experience in executing multiple ML Projects
- Strong statistical background professionally or academically
- Graded Certifications or a degree in Machine Learning is a must
- Expertise with ML concepts like: Classification algorithms, regression, clustering and semi-supervised learning
- Exposure to ML Explainability
- Familiarity with Time Series concepts like AR, ARIMA, SARIMA, Exponential Smoothing, etc
- Familiarity with Neural networks and time dependent neural networks like GRUs and LSTMs.
- Proficiency in utilizing any of the public cloud providers for designing, building and deploying enterprise grade ML solutions.
- 15+ years of total experience with minimum 7+ years of relevant experience
Good to have:
- Hands on experience with MLOps
- Creating end to end inferencing pipelines for monitoring concept drift and data drift
- Experience with NLP or Gen AI
- Recommender Systems
Please share skill matrix out of 5 on below skill.
AWS cloud skills:
Machine Learning:
GenAI:
LLM:
LLMOps:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job