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

• *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.

• *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