Custom Software Engineer

Posted 8 Hours Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Information Technology
The Role
Senior ML Engineer responsible for production model support, MLOps, deployments, monitoring, benchmarking, and root-cause analysis. Lead and mentor ML engineers, liaise with cross-functional teams, build dashboards, and support data scientists with analytics and tooling across multiple business areas.
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 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary :
As a Senior Machine Learning Engineer, you will be responsible for overseeing the engineering team involved in the advanced technical support for production-level AI models, addressing bug fixes, complex issues, feature additions, model expansion to new business cases. You will own the issue management space and the related process and workflows. You will support the core data science team with model deployment and machine learning operations (MLOps). You will support 2 or more business areas

Roles & Responsibilities:
- Provide advanced technical support for production-level AI models, addressing bug fixes, complex issues and model expansion to new business cases.
- Act as a liaison between data scientists, cloud engineers, data engineers and the business team to diagnose and resolve issues related to AI model performance and deployment. Coordinate the issue prioritization.
- Lead the continuous improvement of support processes and workflows.
- 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.
- Document and communicate best practices and troubleshooting procedures to Level 1 and Level 2 support teams.
- Coordinate and mentor the Machine Learning Engineering team, promoting best practices and code quality.
- Support data scientists with data exploration and cleaning, data analytics, data visualizations and data annotations. Develop 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.
- 8+ years of experience in deploying, monitoring and maintaining machine learning models in cloud environments
- 5-6 years of experience in advanced data analysis on large data sets
- Strong experience working in a cross-functional environment supporting multiple areas of the business
- 2-3 years of experience in leading a small team

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.
- Excellent problem-solving skills and attention to detail.
- Must be able to function independently as well as work in a collaborative team environment.
- Willingness to teach others and 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 preferred

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 

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
  • 8+ years deploying, monitoring and maintaining ML models in cloud environments
  • 5-6 years of advanced data analysis on large data sets
  • 2-3 years of experience leading a small team
  • 15 years full time education
  • Bachelor's degree in Computer Science, Mathematics, Data Science or related field
  • Master's degree
  • Development and deployment of ML and AI solutions (applied statistics, model evaluation, data visualization)
  • scikit-learn
  • xgboost
  • pandas
  • numpy
  • scipy
  • Jupyter Notebook
  • Python
  • Git
  • Unit testing
  • CI/CD principles
  • Tableau
  • Superset
  • Streamlit
  • SQL
  • NoSQL
  • Oracle
  • MySQL
  • Amazon S3
  • Athena
  • DynamoDB
  • AWS
  • Microsoft Azure
  • Snowflake
  • Linux
  • Bash
  • Docker
  • Cron
  • Apache Airflow
  • Experience supporting multiple business areas and cross-functional teams
  • Ability to function independently and collaboratively; willingness to teach and learn

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.

  • 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.
  • 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.
  • 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
456,553 Employees
Year Founded: 1989

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.

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