AI LLM Senior Analyst
We are:
The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients with seamless access to industry insights and innovative technology solutions.
Stronger together!
The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.
The value for our clients and our people
For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.
YOU ARE
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK
- Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
- Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
- Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
- Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
- Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
- Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
- Justify the value of model approaches in business problems
- Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production.
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
BASIC (REQUIRED) QUALIFICATION
- Bachelor's degree or completion of a college program in in Computer Science, or a related field
- Minimum of 2 years of experience in Cloud services – AWS or Azure or GCP.
- Minimum of 2 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
- Minimum of 2 years of experience in applying theoretical foundations of computer science, including computer system architecture, and programming
- Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, , scientific compute, grid and cloud computing, distributed networks
- Minimum of 1 year of experience in building and deploying AI/ML based software to a cloud environment.
English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.
#LI-NA-FY25#LI-MP
PREFERRED QUALIFICATION
- Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.
- Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
- Experience with the following programming languages: Python, C++, Java, R, SQL
- Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
- Strong client-facing skillsets in a consulting environment
- Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
- Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,
role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time
employment, for roles that may be hired as set forth below.
The recruiting efforts for this position are intended to fill a brand new position.
The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.
Information on benefits is here:
Role Location Hourly Salary Range British Columbia/Ontario/New Brunswick $29.59 to $53.63
Montreal, Quebec
Mississauga, Ontario
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