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.
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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
