Leads the architecture, development, and maintenance of scalable AI/ML software solutions. Collaborates with software engineers, product managers, and stakeholders to translate business needs into technical designs. Provides technical leadership, integrates machine learning models, ensures performance, security, code quality, and deployment best practices, and supports Agile and NPI processes. Contributes to operational improvements, technical reviews, problem resolution, and team development.
Job Description SummaryJob Description
Senior Data Architect in AI/ML team will be responsible for designing, developing, and maintaining software solutions that leverage artificial intelligence and machine learning to improve GEV commercial products and internal processes. Senior Lead Data Engineer will work closely with software engineers, product managers, and other stakeholders to deliver high-quality, scalable, and efficient software solutions.
Responsibilities:
Technical Leadership:
- Provide technical leadership in technology and design. Collaborate with Software engineers to integrate AI/ML models into software solutions.
- Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
- Design and architect scalable and efficient software systems. Ensure the scalability, performance, and security of software applications.
- Write clean, efficient, and well-documented code.
- Stay up to date with the latest trends and technologies in AI/ML and software engineering.
- Contribute to the development of internal tools and processes to improve operational efficiency.
Engineering/Technology Practices:
- Support Senior & Principal Engineers to safeguard design qualities.
- Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
- Ensure adherence to software development methodologies, including Agile and the New Product Introduction (NPI) process. Maintain high standards of code quality and documentation. Implement best practices for software development and deployment.
- Participate in the review and approval of technical designs and architectures and contribute to the improvement of coding standards and best practices.
People Development:
- Foster a collaborative and inclusive team environment. Encourage continuous learning and development within the team.
Qualifications & Requirements:
- Bachelor or Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
- Strong software engineering expertise, and ability to lead teams.
- Experience with web technologies and version control system in industrial context
- 8-12 years of deep technical experience in data engineering, having successfully transitioned into senior roles overseeing system architecture and operational excellence
- Ability to work across organizations in a matrix environment.
- Experience as Senior Engineer
- Strong oral and written communication skills
- Strong interpersonal and leadership skills
- Problem analysis and resolution skills
- Experience with Python, Javascript, AWS. Experience with frameworks and libraries such as React, Numpy, Torch, Sanic, ...
Relocation Assistance Provided: Yes
Similar Jobs
Logistics • Transportation
Owns the target-state data architecture for a near-real-time Command Centre and Control Tower. Designs multi-source ingestion, canonical models, event and semantic layers, data quality, lineage, security, governance, and performance patterns. Provides technical direction to engineering and BI teams, establishes data contracts and standards, supports delivery and testing, resolves complex architecture issues, and aligns stakeholders across operations, platforms, source systems, security, and enterprise architecture.
Top Skills:
APIsBusiness IntelligenceChange Data Capture (Cdc)Cloud Data PlatformsData CataloguesData LineageData Observability ToolingData Quality ToolingData VaultData VisualizationData WarehousesEvent-Driven ArchitectureKimball Dimensional ModelingLakehouseMaster Data Management (Mdm)Medallion ArchitectureMetadata ManagementOrchestration FrameworksSQLStreamingTransformation Frameworks
Agency • Information Technology
Lead architecture and delivery of enterprise-scale data platforms and analytics workspaces. Drive data governance, quality, lineage, and end-to-end data pipelines. Guide and mentor teams, with preferred experience in banking/private wealth management.
Top Skills:
AbinitioCognosGoogle Cloud Data Platform (Gcp)LookerNoSQLTableau
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manage clinical trial data monitoring and management activities, ensuring data quality, completeness, regulatory compliance, and adherence to data management plans. Develop data cleaning reports, collaborate with global subject matter experts, identify and resolve issues, maintain study deliverables, and document lessons learned. The role also supports operational excellence across clinical study management and regulatory processes.
Top Skills:
ChatgptClinical Data Management SystemsData Visualization ToolsElectronic Data Capture (Edc) SystemsElectronic Document Management SystemsMicrosoft CopilotWeb-Based Data Management Systems
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
