AI and Machine Learning Engineer

Machine Learning And Artificial Intelligence Developer

Synergistic IT is a full-service staffing and placement firm servicing clients 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 don't just help you secure a Tech Job, but we build your solid career in technology.

You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design to coding, testing, and maintenance. You will also play a leading role, as part of a multidisciplinary team, to design and deliver enterprise AI and Client solutions to clients using our proprietary AI Machine. We develop real-time prediction (regression and classification) and clustering systems. Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 minute and millisecond streaming data.

Primary Responsibilities:

• Develop, debug and maintain Client and AI software applications written in Python ecosystem, SciKit-Learn, TensorFlow, Keras, PyTorch.
• Design Client and Deep AI Models for different types of data (time-series, sales, business data, images, etc.) and different output types (Classification, Regression, Clustering).
• Create stream learning models for forecasting, prediction, classification, anomaly detection, etc.
• Investigate the behaviour of input and output data numerically.
• Investigate and optimize models performance.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Work within a multidisciplinary team to understand clients business, data, and requirements and develop the appropriate AI or Client solution within our proprietary AI Machine.

Required Candidate Profile Skills Required:

• High fluency in English is a must since you will communicate and work with team members and clients in English.
• Deep understanding of Client algorithms like regression, classification and clustering.
• Deep understanding of model determination and evaluation.
• Strong problem-solving mindset and ability to develop creative solutions for difficult problems often requiring detailed investigation of the code and data.
• Interest in learning and coding within an advanced distributed micro-system architecture.

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

Benefits of working with our clients:

• E-Verified.
• Long Term Positions
• On Job Technical Support.