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Accenture

Advises businesses and runs their technology

AI/ML Consultant

Applied Machine LearningPosted on Nov 13
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • A BTech or BE degree is required.
  • At least 4 years of relevant experience in the required domain is required.
  • Hands-on experience operationalizing machine-learning systems on cloud and/or on-premises platforms is required.
  • Proven expertise conducting machine-learning maturity assessments and developing MLOps roadmaps is required.
  • Proficiency in deep-learning frameworks such as TensorFlow and PyTorch is required.
  • Knowledge of MLOps best practices and processes is required.
  • Ability to design scalable and reliable machine-learning architectures is required.
  • The role requires analytical and problem-solving skills, communication skills, and the ability to work in a fast-paced, dynamic environment.
  • The role requires good software-engineering practices, including code modularization, documentation, and testing.
  • Experience with open APIs, integration architecture, and microservices is required.

Responsibilities

  • Conduct comprehensive assessments of an organization's machine-learning maturity, identify strengths, weaknesses, and improvement areas, and recommend ways to enhance machine-learning capability in alignment with business objectives.
  • Develop MLOps roadmaps and establish end-to-end machine-learning lifecycle processes covering data preparation, model training, deployment, and monitoring.
  • Implement MLOps best practices to improve the efficiency, scalability, and reliability of machine-learning systems.
  • Lead the design and implementation of generative AI solutions using deep-learning frameworks, and incorporate relevant advancements and technologies.
  • Identify opportunities for machine-learning and generative AI applications and work with cross-functional teams to incubate and design solutions tailored to business requirements.
  • Provide technical leadership and mentorship to data scientists, engineers, and other team members.
  • Collaborate with stakeholders to align technical solutions with business objectives and translate business needs into machine-learning and generative AI requirements.
  • Communicate complex technical concepts to non-technical audiences.
  • Provide strategic advisory services, conduct market research, and develop data-driven recommendations to improve business performance.

Desired Qualifications

  • Experience implementing generative AI solutions, including incubation, design, and deployment, is a plus.
  • Experience in the telecommunications, high-tech, software, or platform industries is desirable.
  • Ability to leverage design thinking, business-process optimization, and stakeholder-management skills is desirable.
  • Experience with Scikit-learn, Keras, NumPy, Pandas, Matplotlib, Seaborn, TensorFlow Serving, Docker, and Kubernetes is desirable.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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