\r\nSynergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We Intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.
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\r\nJob description
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\r\nGood understanding of the below models
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Identify valuable data sources and automate collection processes
\r\n\tUndertake preprocessing of structured and unstructured data
\r\n\tAnalyze large amounts of information to Client trends and patterns
\r\n\tClassifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
\r\n\tMachine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
\r\n\tUnsupervised/Clustering algorithms
\r\n\tNLP models, Deep Learning models for image classification
\r\n\t
\r\nDesired Candidate Profile
\r\nSkills required
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Hands on experience Python scripting
\r\n\tHands on experience in building Machine Learning and Artificial Intelligence models
\r\n\tGood knowledge on Exploratory Data Analysis (EDA)
\r\n\tHands on experience on platforms - Microsoft Azure/Amazon Web Services
\r\n\tLibraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
\r\n\tExcellent English communication (both oral and written) and reading comprehension
\r\n\tskills.
Strong analytical and problem-solving skills, with clear attention to detail.
\r\n\t
\r\nEducation Requirement: -
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\r\nBachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.
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\r\nBenefits:
On Job Technical support
\r\n\tE- verified
\r\n\tFull time position
\r\n\tCandidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.
\r\n
\r\nIf you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP.
\r\nThank you
\r\n
\r\n
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About Us:
Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We Intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.
Job description
Good understanding of the below models
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to Client trends and patterns
Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
Unsupervised/Clustering algorithms
NLP models, Deep Learning models for image classification
Desired Candidate Profile
Skills required
Hands on experience Python scripting
Hands on experience in building Machine Learning and Artificial Intelligence models
Good knowledge on Exploratory Data Analysis (EDA)
Hands on experience on platforms - Microsoft Azure/Amazon Web Services
Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
Excellent English communication (both oral and written) and reading comprehension
skills.
Strong analytical and problem-solving skills, with clear attention to detail.
Education Requirement: -
Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.
Benefits:
On Job Technical support
E- verified
Full time position
Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.
If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP.
Thank you
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