S&C GN - Data&AI - CMT Eng - Consultant at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Communications, Media, TechnologyIndustries

Requirements

Must-have skills: Gen AI ML
Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills
Relevant experience in the required domain
Strong analytical, problem-solving, and communication skills
Ability to work in a fast-paced, dynamic environment
Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps
Hands-on experience in operationalizing Machine Learning systems on cloud and/or On-Prem platforms
Experience in implementing Generative AI solutions, including incubation, design, and deployment (big plus)
Proficiency in deep learning frameworks such as TensorFlow and PyTorch
Good knowledge of ML Ops best practices and processes
Excellent problem-solving skills and ability to design scalable and reliable ML architectures
Strong leadership and communication skills, with a track record of leading successful ML initiatives
Experience in Telecom, Hi Tech, Software, or Platform industry (desirable)
Proficiency in tools & techniques: TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, Pandas, Matplotlib, Seaborn, TensorFlow Serving, Docker, Kubernetes
Good software engineering practices, including code modularization, documentation, and testing
Experience with open API, Integration architecture, microservices

Responsibilities

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance
Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement
Provide strategic recommendations to enhance the overall ML capability and align it with business objectives
Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring
Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems
Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch
Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions
Proactively identify opportunities for ML and/or Gen AI applications within the organization
Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements
Provide technical leadership and mentorship to data scientists, engineers, and other team members
Collaborate with stakeholders to ensure alignment between technical solutions and business objectives
Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements
Effectively communicate complex technical concepts to non-technical audiences

Skills

Generative AI

Machine Learning

MLOps

TensorFlow

PyTorch

Design Thinking

Stakeholder Management

Business Process Optimization

ML Maturity Assessment

Model Deployment

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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