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S&C Global Network - AI - Managed Services – ML Engineering Manager

AI LLM Technology Architecture Manager | Full time | Experience: 10-12 years
Job No. R00250890 | Hyderabad
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Entity: - Accenture Strategy & Consulting

Team: - Global Network – Data & AI

Practice: - AI Managed Services 

Title: - AI LLM Technology Architecture Manager

Role: - ML Engineering Manager

Job Location: - Hyderabad

Accenture Global Network - Data & AI practice helps 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 

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. 

WHAT’S IN IT FOR YOU? 

  • You’ll lead projects that use AI and machine learning to solve real-world business problems and improve operations.
  • You’ll collaborate with top talent in AI and technology, learning from others while sharing your own expertise.
  • At Accenture, we’ll support your growth with training and resources to help you build your skills and advance your career.
  • As a manager, you’ll have the chance to lead a team, guiding them through exciting and challenging projects.
  • You’ll work with top clients on high-impact projects that will stretch your skills and give you valuable experience.
  • Accenture values diversity and strives to create an inclusive environment where everyone can contribute and succeed.

What you would do in this role 

  • You’ll lead a team to develop and launch machine learning models that solve business problems and create real value for our clients.
  • You’ll work with cloud platforms like AWS, GCP, and Azure to build and deploy machine learning models, ensuring they run efficiently.
  • You’ll focus on optimizing models to ensure they’re fast, accurate, and scalable for real-world applications.
  • You’ll collaborate closely with data scientists, data engineers, and product teams to integrate machine learning solutions into client systems.
  • You’ll stay up to date with the latest AI and machine learning trends, ensuring we stay ahead of the curve.
  • You’ll guide and support your team, helping them grow their skills and work effectively to deliver high-quality results.
  • You’ll ensure projects stay on track, meet deadlines, and exceed client expectations.

    Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. 

      Who are we looking for? 

      • Bachelor's or master's degree in any engineering stream or MCA. 
      • Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. 
      • Proven experience (10+ years) in working as per the above job description is required. Exposure to Retail, Banking, and Healthcare projects is an added advantage. 
      • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. 
      • Strong understanding of algorithms, statistical modeling, and data structures. 
      • Experience with cloud platforms (AWS, GCP, Azure) and ML deployment tools (Docker, Kubernetes, MLflow, Kubeflow etc.). 
      • Working knowledge of SQL and NoSQL databases for data handling. 
      • Familiarity with MLOps best practices for continuous integration and deployment of ML models. 
      • Excellent problem-solving skills and ability to work in a collaborative team environment. 
      • Ability to solve complex business problems and deliver client delight. 
      • Strong writing skills to build points of view on current industry trends. 
      • Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. 

      Hyderabad

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