Job Title

S&C Global Network - AI - FS Engineering - Senior Analyst

Job Description

Full time

Education

Bachelor Degree, Graduate Degree/PhD

Qualification

Job Qualifications Who we are looking for? Bachelor`s or advanced degree in Computer Science, Data Science, or a related field. Over 10 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Demonstrable hands-on experience in developing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Proven experience in implementing Generative AI solutions, including incubation, design, and deployment. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth 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 or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with API , Integration architecture , microservices

Job Description

Entity: - Accenture Strategy & Consulting

Team: - Strategy & Consulting – Global Network

Practice: - Communications & Media - AI & Data Architectures

Title: - I&F Decision Sci Practitioner Senior Analyst

Job location: - Bangalore, Hyderabad

About S&C - Global Network: - Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

WHAT’S IN IT FOR YOU?

• Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture’s highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests.
• You’ll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities.

What you would do in this role

ML Maturity Assessment:

• 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.

ML Ops Roadmap & Processes:

• 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.

Implementation of Gen AI Solutions:

• 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.

Incubating and Designing:

• 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.

Technical Leadership:

• 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.

Collaboration and Communication:

• 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.

Business Area

Industry X

Employee Type

Full-time

Posted Date

2026-05-21

Country

India

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