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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 Tensor Flow and Py Torch.
- 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.
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 Tensor Flow and Py Torch.
- 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:Tensor Flow, Py Torch, Scikit-learn, Keras
- Num Py, Pandas
- Matplotlib, Seaborn
- Tensor Flow Serving, Docker and Kubernetes
- Good software engineering practices, including code modularization, documentation, and testing.
- Experience with API , Integration architecture , microservices
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Business Operations L2
0 reports
$55,250
total / year
Base
$22,100
Stock
$27,625
Bonus
$5,525
$38,675
$71,825
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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