The Role
Provide technical support and ownership for production ML/AI models: troubleshoot bugs, expand models to new use cases, deploy and monitor models in cloud environments, build benchmarking and monitoring dashboards, collaborate with data scientists and engineers, and improve support processes.
Summary Generated by Built In
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary :
As Machine Learning Lead, you will be responsible for the technical support for production-level AI models, addressing bug fixes, complex issues, and model expansion to new business cases. You will support the core data science team with model deployment. You will support one specific area of our portfolio.
Roles & Responsibilities:
- Provide technical support for production-level AI models, addressing bug fixes, complex issues and model expansion to new business cases.
- Collaborate with data scientists, cloud engineers and data engineers to diagnose and resolve issues related to model performance and deployment.
- Build model performance benchmarking, evaluation and monitoring capabilities. Develop dashboards and reports to present data quality and model performance KPIs. Assess model performance to understand bugs, inefficiencies and their root cause.
- Provide support for the development and deployment of custom data analytics tools and data visualizations.
- Stay current with the latest advancements in AI and machine learning technologies to provide informed support and recommendations.
- Contribute to the continuous improvement of support processes and workflows.
- 1-3 years of experience in deploying, monitoring and maintaining machine learning models in cloud environments
- 1-3 years of experience in advanced data analysis on large data sets
Professional & Technical Skills:
- Development and deployment of machine learning and AI solutions (applied statistics, machine learning, model evaluation, data visualization)
- Data science and data engineering tools (scikit-learn, xgboost, pandas, numpy, scipy, jupyter notebook)
- Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)
- Visual analytics platforms (Tableau, Superset, Streamlit)
- Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB)
- Cloud platform technology (AWS, MS Azure or Snowflake))
- System infrastructure in Linux (Bash, Docker, CRON, Apache Airflow)
- Strong understanding of software development lifecycle and best practices.
- Good problem-solving skills and attention to detail.
- Must be able to function independently as well as work in a collaborative team environment.
- Willingness to learn new technologies
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
- Bachelor degree in Computer Science, Mathematics, Data Science or related field. Master preferred15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary :
As Machine Learning Lead, you will be responsible for the technical support for production-level AI models, addressing bug fixes, complex issues, and model expansion to new business cases. You will support the core data science team with model deployment. You will support one specific area of our portfolio.
Roles & Responsibilities:
- Provide technical support for production-level AI models, addressing bug fixes, complex issues and model expansion to new business cases.
- Collaborate with data scientists, cloud engineers and data engineers to diagnose and resolve issues related to model performance and deployment.
- Build model performance benchmarking, evaluation and monitoring capabilities. Develop dashboards and reports to present data quality and model performance KPIs. Assess model performance to understand bugs, inefficiencies and their root cause.
- Provide support for the development and deployment of custom data analytics tools and data visualizations.
- Stay current with the latest advancements in AI and machine learning technologies to provide informed support and recommendations.
- Contribute to the continuous improvement of support processes and workflows.
- 1-3 years of experience in deploying, monitoring and maintaining machine learning models in cloud environments
- 1-3 years of experience in advanced data analysis on large data sets
Professional & Technical Skills:
- Development and deployment of machine learning and AI solutions (applied statistics, machine learning, model evaluation, data visualization)
- Data science and data engineering tools (scikit-learn, xgboost, pandas, numpy, scipy, jupyter notebook)
- Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)
- Visual analytics platforms (Tableau, Superset, Streamlit)
- Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB)
- Cloud platform technology (AWS, MS Azure or Snowflake))
- System infrastructure in Linux (Bash, Docker, CRON, Apache Airflow)
- Strong understanding of software development lifecycle and best practices.
- Good problem-solving skills and attention to detail.
- Must be able to function independently as well as work in a collaborative team environment.
- Willingness to learn new technologies
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
- Bachelor degree in Computer Science, Mathematics, Data Science or related field. Master preferred15 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
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.
Skills Required
- Machine Learning (ML)
- Minimum 7.5 years of experience in Machine Learning
- Minimum 5 years of overall experience
- Experience deploying, monitoring and maintaining ML models in cloud environments (1-3 years)
- Experience in advanced data analysis on large data sets (1-3 years)
- 15 years full time education
- Bachelor's degree in Computer Science, Mathematics, Data Science or related field
- Master's degree preferred
- Python
- scikit-learn, xgboost, pandas, numpy, scipy, Jupyter Notebook
- Git, Unit testing, CI/CD principles
- Visual analytics platforms: Tableau, Superset, Streamlit
- Databases and storage: SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB
- Cloud platforms: AWS, Microsoft Azure or Snowflake
- Linux systems: Bash, Docker, CRON, Apache Airflow
- Strong understanding of software development lifecycle and best practices
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
