Python Jobs in Chula Vista, CA
Create a job alert for this search
Python • chula vista ca
- Promoted
Senior Data Scientist
E-SolutionsSan Diego, CA, United States- Promoted
Engineering Technician, Intermediate
ACL DigitalSan Diego, CA, United StatesAfter-School STEM & Coding Instructor (Part-Time)
Concorde EducationImperial Beach, San Diego County, United StatesSoftware Developer in Test
Tactical Engineering & AnalysisSan Diego, CA, USARemote PhD Rater - AI Trainer ($70-$120 per hour)
MercorSan Diego, California, USPython Developer
Proven RecruitingSan Diego, California- Promoted
In-Person Assistant Python Programming Mentor
The LEAGUE of Amazing ProgrammersSan Diego, CA, United States- Promoted
Staff Data Engineer / FullStack Data Developer (Databricks / Python)
QualcommSan Diego, CA, United States- Promoted
Machine Learning Developer III
Apex InformaticsSan Diego, CA, United States- Promoted
Senior Network Security Engineer
United IT SolutionsSan Diego, CA, United StatesEngineering Technician, Intermediate|6087
LancesoftSan Diego, CA, US- Promoted
Sr. Software Engineer
CompnovaSan Diego, CA, United States- New!
5G System Test Engineer
Medley Networks.comSan Diego, California, USRemote PhD Rater - AI Trainer ($70-$120 per hour)
MercorChula Vista, California, US- Promoted
Engineering Technician, Intermediate|6087
Spectraforce TechnologiesSan Diego, CA, United StatesRemote STEM Python Experts (Math, Physics, Chemistry, Biology) - AI Trainer ($70-$90 per hour)
MercorChula Vista, California, US- Promoted
Build integration Engineer
ArtechSan Diego, CA, United StatesRemote Senior Python Engineer - AI Trainer
SuperAnnotateCoronado, California, US- Promoted
- New!
Engineering Technician, Intermediate|6087
LanceSoftSan Diego, CA, United States- live in nanny (from $ 19,500 to $ 292,500 year)
- psychiatrist (from $ 25,000 to $ 242,000 year)
- product owner (from $ 101,500 to $ 238,000 year)
- records manager (from $ 85,208 to $ 232,000 year)
- machine learning (from $ 174,990 to $ 229,500 year)
- technical product manager (from $ 130,000 to $ 218,116 year)
- energy (from $ 50,700 to $ 215,000 year)
- energy analyst (from $ 179,000 to $ 215,000 year)
- renewable energy (from $ 90,000 to $ 215,000 year)
- infrastructure engineer (from $ 125,000 to $ 200,000 year)
- Birmingham, AL (from $ 75,000 to $ 211,350 year)
- Simi Valley, CA (from $ 122,250 to $ 196,333 year)
- Baltimore, MD (from $ 110,000 to $ 187,500 year)
- Boston, MA (from $ 124,800 to $ 185,000 year)
- San Francisco, CA (from $ 125,000 to $ 183,650 year)
- San Bernardino, CA (from $ 124,804 to $ 183,475 year)
- San Diego, CA (from $ 124,246 to $ 183,044 year)
- San Antonio, TX (from $ 124,800 to $ 182,954 year)
- San Jose, CA (from $ 124,800 to $ 182,932 year)
- Santa Clarita, CA (from $ 117,000 to $ 182,115 year)
The average salary range is between $ 103,626 and $ 163,351 year , with the average salary hovering around $ 125,316 year .
Related searches
Senior Data Scientist
E-SolutionsSan Diego, CA, United States- Full-time
Location: San Diego ( onsite)
JD:
Lead development of advanced machine learning and statistical models
• Design scalable data pipelines using PySpark
• Perform data transformation and exploratory analysis using Pandas, Numpy and SQL • Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch
• Mentor junior engineers and lead code reviews, best practices and documentation.
• Designing and implementing big data, streaming AI/ML training and prediction pipelines.
• Translate complex business problems into data driven solutions.
• Promote best practices in data science, and model governance . • Use tools like Python, TensorFlow, PyTorch, SQL, and cloud platforms
• Stay ahead with evolving technologies and guide strategic data initiative
Requirements:
• Bachelor and/or Masters degree in either one of the disciplines: Computer Science, Statistics, Data Science, Data Analytics, Machine Learning.
• Python, PySpark, SQL
• Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker
• Supervised learning models: Regression, Classification
• Unsupervised learning models: Anomaly detection, clustering
• Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models
• Model evaluation, cross validation, hyper parameters tuning
• Scikit-Learn, TensorFlow, PyTorch