AI / Machine Learning Engineer

Gyrus AI; Santa Clara (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

Gyrus AI is seeking a skilled machine learning developer to work in Santa Clara, California. The role includes researching and implementing machine learning algorithms, developing applications, and performing statistical analysis to fine-tune models. A Bachelor's degree in Computer Science or related field and at least 2 years of relevant experience are required.

Experience with time series forecasting, programming skills in languages such as Python, and familiarity with deep learning frameworks is essential. Join Gyrus AI to contribute to innovative machine learning solutions.

Qualifications

• Minimum 2 years experience designing and implementing time series forecasting.
• Minimum 2 years experience designing and implementing machine learning solutions including supervised and unsupervised models.
• Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation.

Responsibilities

• Research and implement appropriate ML algorithms and tools.
• Develop machine learning applications according to requirements.
• Train ML/AI algorithms and test them for accuracy, precision, and recall.

Skills

Machine Learning Algorithms

Time Series Forecasting

Object Oriented Programming

Statistical Analysis

Deep Learning Frameworks

Data Processing

SQL and NoSQL Databases

Education

Bachelor's Degree in Computer Science or related field

Tools

NumPy

Pandas

scikit-learn

Matplotlib

PyTorch

TensorFlow

PostgreSQL

Cassandra

MongoDB

Job description

Responsibilities

• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Train ML/AI algorithms and test them for accuracy, precision and recall.
• Perform statistical analysis and fine‑tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks

Job Profile:

• BachelorsDegree in Computer Science or related field required
• Minimum 2 years experience designing and implementing time series forecasting.
• Minimum 2 years experience designing and implementing machine learning solutions including supervised and unsupervised models.
• Object oriented programming skills in one of Scala, Java, Python, C++.
• Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation
• Time series forecasting using regressions models and Recurrent Neural Networks (RNN) including LSTM .
• Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc.
• Deep learning frameworks such as PyTorch TensorFlow
• Good scripting and programming skills
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc. is a plus
• Past history with AWS is a plus