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: Data Engineering

Good to have skills: Python (Programming Language)Minimum 5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

As a Data Ops, ML Engineer, you will play a critical role in designing, building, and maintaining production-grade data and machine learning systems that power intelligent enterprise products and services. The individual will lead the development of scalable data pipelines, model deployment frameworks, and MLOps infrastructure to enable reliable, secure, and high-performing AI capabilities across Vertex’s business value streams.

ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES:

• Data Pipeline Development: Build and maintain robust pipelines to collect, process, and transform structured and unstructured data for model training and inference.
• ML Model Deployment: Design, deploy, and manage machine learning models in production environments with a focus on automation, scalability, and performance.
• CI/CD for ML Workflows: Develop and maintain continuous integration and delivery of pipelines for data and ML workflows, including testing, monitoring, and automated retraining.
• MLOps Infrastructure: Implement and refine infrastructure components such as feature stores, model registries, and orchestration frameworks.
• Cross-Functional Collaboration: Partner with data scientists, product managers, and engineering leads to translate experimental models into production-ready services.
• Observability & Monitoring: Create frameworks to monitor data pipelines and ML models for drift, anomalies, and performance degradation.
• Optimization: Tune model serving for latency and cost efficiency across batch, streaming, and real-time environments.
• Automation: Identify and automate repetitive tasks to improve reliability and development velocity.
• Governance & Compliance: Manage data lineage, versioning, and governance to ensure reproducibility and regulatory compliance.
• Troubleshooting: Diagnose and resolve issues in real-time production environments, ensuring minimal disruption to business operations.

KNOWLEDGE, SKILLS, AND ABILITIES:

• 5+ years of hands-on experience in data engineering, ML engineering, or backend software engineering for AI-driven products.
• Strong programming skills in Python, SQL, and at least one compiled language (e.g., Go, Java, Scala).
• Proven experience with MLOps tools and platforms (e.g., MLflow, Airflow, Kubeflow, Sage Maker, Vertex AI, Databricks).
• Deep understanding of data processing frameworks (Spark, Flink, Beam) and cloud architectures (AWS, Azure, GCP).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Familiarity with real-time data processing and event-driven systems (Kafka, Pub/Sub).
• Expertise in feature store management, model versioning, and pipeline observability.
• Knowledge of DevOps and infrastructure-as-code tools (Terraform, CloudFormation).
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication and collaboration skills across technical and business teams.

EDUCATION AND TRAINING:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in data engineering, ML engineering, or backend software development for AI-driven products.
• Experience with CRM and ERP systems (e.g., Salesforce, Workday) preferred.
• Experience implementing Responsible AI principles, including bias monitoring and explainability.

Other Qualifications:

• The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners.
• Communicate with Clarity
• Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback.
• Act with Urgency
• Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule – better is the enemy of done. Don’t spend hours when minutes are enough.
• Work with Purpose
• Exhibit a “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results.
• Drive to Decision
• Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes.
• Own the Outcome
• Defined milestones, commitments and intended results. Assess your work in context, if you’re unsure, ask. Demonstrate unwavering support for decisions.

COMMENTS:
The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time.

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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