EY Manager/ SrManager - Tech Consulting 

India, Karnataka, Bengaluru 

863533859

Senior Solution Engineer – Generative AI

Key Responsibilities:

• Engage with clients to understand their data requirements and ensure that GenAI solutions meet their business needs.
• Develop detailed solution architectures and Bills of Materials (BOMs), balancing cost and quality considerations, and liaise with Cloud Service Providers for accurate BOM pricing.
• Lead the technical response to Requests for Proposals (RFPs), demonstrating our organization's GenAI capabilities and strategic approaches.
• Design, develop, deploy, and maintain scalable and robust data platforms for GenAI applications.
• Establish and manage data pipelines from diverse sources, including on-premises and cloud environments, to support both streaming and batch data processes.
• Perform data discovery, root cause analysis, and recommend strategies to address data quality issues.
• Produce and share technical documentation on integrations with team members and stakeholders.
• Oversee the delivery of large-scale cloud projects, ensuring successful implementation and knowledge transfer.
• Develop and manage MLOps pipelines for continuous integration, delivery, and deployment of machine learning models.
• Implement monitoring systems for model performance, detect anomalies, and execute retraining protocols to maintain model accuracy.
• Design and manage scalable infrastructure for AI model training and deployment, utilizing containerization and orchestration tools.
• Collaborate with cross-functional teams to streamline workflows, address deployment challenges, and align with business goals.
• Stay informed about technological advancements and industry standards to deliver innovative and high-quality solutions.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum of 12 years of experience in programming (Java, Python, Node.js), big data platform implementation, full development lifecycle management, and collaboration with cloud providers for data infrastructure.
• At least 5 years of experience in data management and storage technologies.
• Minimum of 2 years of experience in building data ingestion pipelines and managing data pipeline schedules.
• Demonstrated experience with Generative AI techniques and MLOps practices.
• Proficiency with MLOps tools and platforms, and experience in deploying and managing machine learning models on cloud platforms.
• Strong analytical, problem-solving, and critical thinking skills.
• Proven leadership experience with excellent communication and interpersonal skills.
• Knowledge of security best practices and compliance regulations related to AI model deployment and data management.
• Relevant certifications in data engineering and cloud technologies are preferred.

What We Offer:

• A collaborative and innovative work environment.
• Opportunities for professional growth and development.
• Competitive compensation and benefits package.
• Access to cutting-edge technology and tools.

Interested candidates are invited to submit their resume and cover letter detailing their qualifications and experience related to the role.

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain positive energy, while being adaptable and creative in their approach.