Technical Lead AIML - New Brunswick, Canada - CGI

Description

Position Description:

CGI is seeking a Technical Lead for Artificial Intelligence and Machine Learning. You will be responsible for designing and implementing the architecture and infrastructure of AI based solutions and a low code and no code platform, which are used in applications such as decision Intelligence, Hyper Automation, and Generative AI systems. You will lead a team of data scientists & machine Learning engineers, shaping the direction of the product, and ensuring the delivery of exceptional user experiences. The Technical Lead of AI/ML will play a pivotal role in driving the organization's AI initiatives and delivering enhanced user experiences through a AI solution based product suite. If you are a visionary leader with a passion for AI and a proven track record of success in this field, we encourage you to apply and join our dynamic team.

•This is fulltime position. Contract is not allowed for this role.

•Candidate should be flexible to work in Hybrid model from any of our CGI offices. No remote work allowed.

•Candidate should be willing to work in Eastern time zone.

•Candidate should be hands-on.

Your future duties and responsibilities:

• In-depth knowledge of AI/ML concepts, algorithms, and frameworks.

• Proficiency in programming languages commonly used in AI/ML development (e.g., Python, R).

• Lead and mentor a team of AI engineers and data scientists, fostering collaboration and professional growth.

• Choose appropriate algorithms and machine learning models for tasks such as intent recognition, entity extraction, and sentiment analysis.

• Oversee the end-to-end development of AI/ML projects from concept to deployment.

• Evaluate and select appropriate AI platforms, Open-Source tools, and frameworks for Product Development.

• Language Model Integration: Integrate and fine-tune pre-trained language models (e.g., GPT, BERT, SAVVY, LlaMa2) to suit specific AI/ML applications.

• Develop strategies for data collection, storage, and preprocessing, as well as methods for managing user interactions and feedback.

• Implement techniques for user-specific personalization and contextual understanding to enhance the user experience.

• Design systems that can handle high volumes of concurrent users and accommodate future growth.

• Performance Optimization: Continuously improve the performance and efficiency of the AI system, minimizing response times and resource consumption.

• GenAI: Ability to design and conduct experiments to test the efficacy of different generative models. Stay updated on the latest research and advancements in the field of generative AI.

• Integration with External Systems: Ensure smooth integration with external data sources, APIs, and other enterprise systems to provide comprehensive responses and actions.

• Security and Privacy: Implement security measures to protect user data and maintain compliance with data privacy regulations.

• Develop project timelines, allocate resources, and ensure timely delivery.

• Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders.

Required qualifications to be successful in this role:

•Bachelor's or master's degree in computer science, artificial intelligence, or a related field.

•7+ years of experience in AI /ML,NLP, and OCR development, including hands-on experience with NLP libraries and tools.

•Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Understanding of natural language processing (NLP), computer vision, and other AI/ML subfields.

•Proficiency in programming languages like Python, Java, or others commonly used in AI development.

•Hands-on experience in machine learning techniques, NLP algorithms and Optical Character Recognition (OCR).

•Ability to design and implement scalable, modular AI/ML systems.

•At least 5 use case implementations in Decision Intelligence, Predictions and 3 use cases in Hyper Automation.

•Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling AI systems.

•At least one implementation of using Large Language Models (LlaMa2) with a GPU based infrastructure.

•Experience with DevOps practices and CI/CD pipelines.

•Effective communication is crucial for collaborating with cross-functional teams and explaining technical concepts to non-technical stakeholders.

•Understanding of data privacy regulations, security best practices, and ethical considerations in AI development.

*CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to: skill set level; experience and training; and licensure and certifications. CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $85,-$,.

At CGI we call our professionals "members" to reinforce that all who join our team are, as owners, empowered to participate in the challenges and rewards that come from building a world-class company. CGI's benefits include:

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
(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, a Member Assistance Program, a college savings program, a personal financial management tool, lifestyle management programs and more.

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Skills: