AI / ML Engineer

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Microsoft Azure Machine Learning
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready solutions that incorporate advanced technologies such as generative AI models, deep learning, and neural networks. You will work collaboratively with cross-functional teams to ensure that the applications meet high-quality standards and effectively address user needs. Additionally, you will be involved in the integration of chatbots and image processing capabilities into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency.

Roles & Responsibilities:
- Expected to be an SME.
- Clean, preprocess, and transform raw data into high-quality features (Feature Engineering)
- Assist in building and maintaining automated data pipelines (using tools like Azure Data Factory or Databricks)
- Monitor deployed models for data drift and performance degradation
- Collaborate with Data Scientists to transition experimental code (Python/Notebooks) into production-ready scripts
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentoring within the team to enhance overall skill levels.
- Evaluate and implement new technologies and methodologies to improve project outcomes.

Professional & Technical Skills:
- Must Have Skills: Proficiency in Microsoft Azure Machine Learning.
- Proficiency in Python and SQL
- Familiarity with ML libraries like Scikit-learn, TensorFlow, or PyTorch
- Understanding of Git version control and basic CI/CD concepts
- Basic knowledge of Azure cloud
- Experience with cloud-based AI services and deployment strategies.
- Strong understanding of machine learning algorithms and their applications.
- Familiarity with data preprocessing and feature engineering techniques.
- Ability to work with various programming languages such as Python and R.

Additional Information:
- The candidate should have minimum 5 years of experience in Microsoft Azure Machine Learning.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

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 

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