Remote:::Machine Learning Engineer

Horizon Health Care, Inc

This is a Full-Time position in San Jose, CA posted January 25, 2023.

HI,

Kindly let me know if you have a suitable fit for the following position

Thanks

Title: Machine Learning Engineer

Location: 100% REMOTE

Duration: 6 months

Only W2

Please send the resume to or 847- 350-1008

Qualifications

Proficiency with a deep learning framework such as TensorFlow or Keras
Proficiency with languages such as JavaScript, HTML, Python, SQL, and C++.
Expertise in visualizing and manipulating big datasets (pulling from AWS, CRMs, etc)
Proficiency with OpenCV
Familiarity with Linux
Ability to select hardware to run an ML model with the required latency
Familiarity with ServiceNow and/or Microsoft Azure Bot Services preferred
Excellent interpersonal, communication and organizational skills are required. Excellent analytical and troubleshooting skills are necessary.
Strong written communication skills are preferred, as is the ability to adapt to and follow an organization’s voice, tone, and style.

Breakdown of time:

Analysis- 50% of the time
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Finding available datasets online that could be used for training
Design – 25% of the time
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Defining validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Deploy – 15% of the time
Managing available resources such as hardware, data, and personnel so that deadlines are met
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome them
Deploying models to production
Collaboration – 10% of the time
Collaborating with customers, stakeholders, and service owners to build out solutions

Charan Kumar | IVY Tech Sols Inc.

3403 N Kennecott Avenue, Suite B&C Arlington Heights, IL 60004

( Direct: (847) 350-1008

xiGa2pynHn