Job Description

About Us:
Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated to 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 outcomes. 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:

1. Identify valuable data sources and automate collection processes
2. Undertake preprocessing of structured and unstructured data
3. Analyze large amounts of information to identify client trends and patterns
4. Classifier, Random Forest Classifier, Naive Bayes, Support Vector Machine
5. Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
6. Unsupervised/Clustering algorithms
7. NLP models, Deep Learning models for image classification

Desired Candidate Profile

Skills Required:

1. Hands-on experience with Python scripting
2. Hands-on experience in building Machine Learning and Artificial Intelligence models
3. Good knowledge of Exploratory Data Analysis (EDA)
4. Hands-on experience on platforms - Microsoft Azure/Amazon Web Services
5. Libraries – Numpy, Pandas, Scikit-learn, Seaborn, Plotly, TensorFlow. Should be able to do data visualization using Tableau or Excel.
6. Excellent English communication (both oral and written) and reading comprehension skills.
7. Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement:
Bachelors or Masters in Computer Science, Computer Engineering, Information Systems, Information Technology, Electrical Engineering, or Mechanical Engineering.

Benefits:

1. On Job Technical support
2. E-verified
3. Help to get H1B Employer.
4. 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 the 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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