Data Scientist / ML Engineer

$77,200 - $180,200/Yr

Cgi Technologies And Solutions - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

Professional, Scientific, and Technical Services

About the position

CGI PulseAI, a human-assisted intelligence platform, leverages the capabilities of generative AI and machine learning to redefine, streamline, and automate business processes across the enterprise. It also enables insights-driven decision-making through predictive analytics and conversational AI. Supported by our extensive industry knowledge and global strategic partnerships, CGI PulseAI is highly customizable and can be seamlessly integrated with existing applications and workflows. CGI is currently seeking a Data Scientist / Machine Learning Engineer for our Artificial Intelligence Solution team. As a Team Member, you will be adept at using large data sets to find opportunities for product and process optimization using models to test the effectiveness of different courses of action. You have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. You have a proven ability to drive business results with your data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. This is a full-time position. Contract is not allowed for this role. Candidates should be flexible to work in a hybrid model from any of our CGI offices including Atlanta GA, Pittsburgh PA, Charlotte NC, Fairfax VA, Lafayette LA, Knoxville TN, Dallas TX, Houston TX, Austin TX, and New Brunswick NJ. Candidates should also be willing to work in the Eastern time zone.

Responsibilities

• Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Tensorflow, Pytorch, etc.
• Propose solutions and strategies to business challenges
• Build predictive models and machine-learning algorithms
• Develop custom data models and algorithms to apply to data sets
• Deploy, test, validate, and maintain machine learning models in production by collaborating with data engineers and machine learning engineers
• Develop Prediction systems and machine learning algorithms
• Ongoing assessment of the latest AI/ML technologies, packages, and frameworks within the data science ecosystem
• Integrate AI&ML models with other applications using REST APIs and other connector technologies
• Use versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing
• Carry out pre-processing of structured and Unstructured data
• Coordinate with different functional teams to implement models and monitor outcomes
• Evaluate the performance of models and refine them as needed
• Look for opportunities to use insights/datasets/code/models across other functions in the organization
• Develop and recommend process standards and best practices in Machine Learning as applicable
• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• Partner with stakeholders to conduct research, create proof of concepts, and design solutions
• Ensure data privacy and compliance with relevant regulations.

Requirements

• A bachelor's or master's degree in data science, computer science, statistics, or a related field
• 6 to 10 years of experience in designing, developing, and deploying production-grade AIML solutions
• Solid knowledge of statistical methods and machine learning fundamentals
• Strong proficiency in Python, SQL/No SQL Databases
• Hands-on experience with data analytics and classical machine learning tools (like pandas, NumPy, scikit-learn) and deep learning frameworks (like Tensorflow, Lang Chain, Pytorch, Flask, Fast API)
• Expertise on Generative AI (Transformer), Computer Vision and NLP is preferred
• Excellent written and verbal communication skills
• Excellent stakeholder management skills
• Ability to tell stories with data, and deliver data-driven insights to a wide range of audiences
• Teamworking skills and a collaborative approach to sharing ideas and finding solutions.

Benefits

• Competitive base salaries
• Eligibility to participate in an attractive Share Purchase Plan (SPP) in which the company matches dollar-for-dollar contributions made by eligible employees, up to a maximum, for their job category
• 401(k) Plan and Profit Participation for eligible members
• Generous holidays, vacation, and sick leave plans
• Comprehensive insurance plans that include, among other benefits, medical, dental, vision, life, disability, out-of-county emergency coverage in all countries of employment
• Back-up child care
• Pet insurance
• Member Assistance Program
• 529 college savings program
• Personal financial management tool
• Lifestyle management programs