AI/ML Computational Science Specialist
About The Position
As an Artificial Intelligence and Machine Learning Computational Science professional at Accenture, you will formulate real-world problems into practical, efficient, and scalable AI and machine learning solutions. You will develop and implement AI solutions to drive innovation and improve performance, working with cross-functional teams and applying machine learning, deep learning, and data analysis to solve complex problems and deliver impactful outcomes. The role involves designing and building solutions with AI services and machine learning models, deploying models into production, and designing agents and multi-agent architectures to optimize client workflows. Travel may be required, ranging from 0% to 100% depending on business needs and client requirements. The position requires at least three years of full-time experience in data analysis, statistics, machine learning, or computer science; specified experience with machine learning, deep learning or NLP, cloud AI/ML services, and conversational AI; and a bachelor’s degree or equivalent work experience. Accenture lists location-dependent annual salary ranges and offers medical, dental, vision, life, and long-term disability coverage, a 401(k), bonus opportunities, paid holidays, and paid time off.
Requirements
- At least 3 years of full-time experience in data analysis, statistics, machine learning, or computer science.
- At least 2 years of experience in machine learning or deep learning, or demonstrated proficiency in Natural Language Processing (NLP).
- At least 2 years of experience with AI/ML and cognitive services from at least one cloud service provider.
- At least 1 year of experience building conversational AI applications using cloud-based services and orchestrating AI/ML services into a complete solution.
- Bachelor’s degree or equivalent (minimum 12 years) of work experience; candidates with an associate degree must have at least 6 years of work experience.
Nice To Haves
- Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies.
Responsibilities
- Collaborate with stakeholders to develop solutions for new system roll-outs, application enhancements, and maintenance while following programming standards.
- Develop system specifications and test plans, and manage projects and issues within the assigned scope of work.
- Design and build solutions using AI services and machine learning models for specific use cases.
- Apply machine learning and advanced AI techniques to extract insights from complex datasets and solve problems.
- Deploy trained models into production, ensuring scalability, reliability, performance, and integration with existing systems and applications.
- Design and implement agents and multi-agent architectures to optimize client workflows.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Life insurance
- Long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
