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As a Tech Lead in Data Engineering, you will manage client engagements, lead data engineering projects, and mentor junior engineers while implementing ETL pipelines and managing data solutions across Databricks, AWS, and Azure.
The Principal ML Consultant will lead architectural strategies for AI engagements, focusing on generative AI technologies. Responsibilities include designing ML pipelines, mentoring junior members, guiding technical teams, and working with presales teams on client projects. The role involves development of AI systems and reusable components to enhance project delivery.
As a Technical Lead in ML/AI at Lovelytics, you will oversee client engagements, lead machine learning projects, manage teams, and design data pipelines while mentoring junior engineers. Your work involves deploying generative AI models and ensuring the success of data transformations and production processes, contributing significantly to client business impact.
As a Principal Data Engineer at Lovelytics, you will design and implement data pipelines using Databricks, architect data lakes and warehouses, and ensure project milestones are met. You will also lead technical engagements, translate business requirements into solutions, and collaborate with teams to optimize data governance and security.
The Senior Manager, ML/AI at Lovelytics will lead strategic data and AI client engagements, manage a team of consultants, oversee project scopes and plans, deploy ML workflows, and ensure compliance and data governance across projects while fostering a collaborative work environment.
The Senior Manager, Data Engineer will lead strategic Databricks and data engineering client engagements, overseeing a team and managing project scopes, plans, and performance. Responsibilities include ensuring project milestones, providing technical solutions, and integrating Databricks with third-party applications while fostering team development and compliance with data governance frameworks.
The Strategic Account Executive will lead the sales cycle within the data and AI consultancy, creating strategies, nurturing relationships, and establishing partnerships to drive growth. Responsibilities include overseeing pipeline management, closing new business, and collaborating with technical teams to deliver optimal solutions.
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